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Paper Citation Record · LEDGER

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 4 inbound Pith citation observations for arXiv:2505.02502.

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

pith.paper-citation-record.v1
2505.02502 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:54:24.235822Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:32.572789Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T05:07:20.698683Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8ff36f0-ec55-4fd3-920e-90498203d9bc · outbound

This paper cites Automated unit test improvement using large language models at meta,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Automated unit test improvement using large language models at meta,

Reference 1

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no resolver link, observed 2026-08-16T00:54:23.954548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:23.954548Z digest=sha256:e736f9477c4e8889d44f6fa694ae7a5bc6cd73f71d7f7fb528276cf548885c94

Observation 975e6d04-38c9-45f8-aa88-ffd7a54c69f7 · outbound

This paper cites Awesome free ollama,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Awesome free ollama,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.802971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:23.961995Z digest=sha256:6a4a114831d5409696d15d9b29ab2ed9e226cf0fb35759ff9ec059a512183963

Observation f482612c-8392-4444-ad98-09bfbd9fe6eb · outbound

This paper cites Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models

Reference 3

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no resolver link, observed 2026-08-16T00:54:23.968251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:23.968251Z digest=sha256:2fd790b9e9ce19ad38b4dda380a5ee2b674f2286fd181a8d1061661ecbcc7979

Observation cd5de63b-9313-405d-a4de-f1b7cc26e628 · outbound

This paper cites Unveiling the vulnerability of private fine-tuning in split-based frameworks for large language models: A bidirectionally enhanced attack,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Unveiling the vulnerability of private fine-tuning in split-based frameworks for large language models: A bidirectionally enhanced attack,

Reference 4

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no resolver link, observed 2026-08-16T00:54:23.974470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:23.974470Z digest=sha256:f01b17db27101c98a391edf6561bddb00f60b08678ef5fa639cad373c9f7c194

Observation 26726a9f-40d7-40b7-bc80-174cb5d09d3c · outbound

This paper cites An agile framework for efficient llm accelerator development and model inference,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study An agile framework for efficient llm accelerator development and model inference,

Reference 5

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no resolver link, observed 2026-08-16T00:54:23.979780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:23.979780Z digest=sha256:4502e5a2b82001dc0a0de6aa4d68192c0280dfc1242231f641ae258211b356cb

Observation 62f93b8b-d64c-4ae4-a754-66250294abde · outbound

This paper cites Why are web ai agents more vulnerable than standalone llms? a security analysis,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Why are web ai agents more vulnerable than standalone llms? a security analysis,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:23.984925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:23.984925Z digest=sha256:887cbfc725e290bc03cdca429650c951caac9c047fca1e3b1a66b47658950117

Observation 59174283-3ad0-457d-ba47-7f1b1cbf4b41 · outbound

This paper cites Fofa: Cyberspace asset search engine,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Fofa: Cyberspace asset search engine,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.784962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:23.990530Z digest=sha256:01ac929723cfb8bc53ad10d500ab604e8500922b574b62f0ce7553d6f9149bcc

Observation e7fef48e-61bd-4fb6-8597-58145ae263cd · outbound

This paper cites Nextchat,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Nextchat,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.768097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:23.995933Z digest=sha256:c3917a1e6211e783b90de9a491f54e552c8760040aea799bc2d4f076a1f2828b

Observation 85433c54-cdbf-4fb9-9371-7cdd5d88f8b1 · outbound

This paper cites Deepseek llm,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Deepseek llm,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.749660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.001284Z digest=sha256:a7dde812f32613868123cc51d37fa0f658e52597e9540d385d47c013f964adfa

Observation d215159f-4ce3-4063-a891-3c254977db25 · outbound

This paper cites Comfyui,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Comfyui,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.733267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.006872Z digest=sha256:ccdc92c74cb25b302fa046da626944a369196e6c700150d31530f0fad0e0fb4d

Observation b2b13dd4-741c-4dd8-a5db-51db33bc5b6f · outbound

This paper cites Llm-aid: Leveraging large language models for rapid domain-specific accelerator development,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Llm-aid: Leveraging large language models for rapid domain-specific accelerator development,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.013255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.013255Z digest=sha256:8acfbd72db7800666fb0d6f93a4e99e18f2e383806140e730e9563d7f74d1236

Observation 85cb2b8b-c989-4316-b519-92ffff20e06f · outbound

This paper cites Owasp top 10 for llm applications 2025,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Owasp top 10 for llm applications 2025,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.716791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.019153Z digest=sha256:02a8d7f009b5cc32664752342e96064008f71d4d1b9470ddaa005c267ec04485

Observation fff6a0f9-d24c-4924-829a-8c7ec1713b5b · outbound

This paper cites llama.cpp,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study llama.cpp,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.696186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.024408Z digest=sha256:1b1b45cf3627c4f8a58c06592f435c51b4cb7f2248e971125525d212e103715f

Observation 6eda9cd2-2d5b-45fc-87c7-12336bb59dcd · outbound

This paper cites Not what you’ve signed up for: Compromising real- world llm-integrated applications with indirect prompt injection,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Not what you’ve signed up for: Compromising real- world llm-integrated applications with indirect prompt injection,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.029951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.029951Z digest=sha256:6656c3f21c9bf68e2814bebf694882807815c62c5cbae9f5849121890919b0c0

Observation 7c17de91-f232-44e5-880c-a0bcd05a4e26 · outbound

This paper cites The emerged security and privacy of llm agent: A survey with case studies,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study The emerged security and privacy of llm agent: A survey with case studies,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.035258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.035258Z digest=sha256:53c1695b11be5c282d2e62bb3ff99ed2ec62639d336555696c8f9db481faeb47

Observation 628e78c0-0c9c-41a4-9cd1-e07f43f978c3 · outbound

This paper cites Large language models for software engineering: A systematic literature review,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Large language models for software engineering: A systematic literature review,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.040230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.040230Z digest=sha256:6fbedcd4dcfc5db9f18b7fa289bb070fe9e3f2bc434e7992983b9245f46b4aa9

Observation a40e0463-b76f-4177-8972-160c5d917acc · outbound

This paper cites The next frontier of llm ap- plications: Open ecosystems and hardware synergy,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study The next frontier of llm ap- plications: Open ecosystems and hardware synergy,

Reference 17

Resolution
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no resolver link, observed 2026-08-16T00:54:24.045450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.045450Z digest=sha256:e3dbceaf55f99ac939b540dc78859727c769219b247bdccdcb567d6852861cfb

Observation 8cd7d1ba-bd0d-463d-b816-92e109a00a2c · outbound

This paper cites What’s important here?: Opportunities and challenges of llm in retrieving information from web interface,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study What’s important here?: Opportunities and challenges of llm in retrieving information from web interface,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.678509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.050675Z digest=sha256:f28c0bf7a4782fff993570724b0a5b800ba2762277a2a785800523af046afc1d

Observation 3211beeb-3dfb-4d81-84cb-0d3d02a48db1 · outbound

This paper cites Ray serve,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Ray serve,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.661240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.056161Z digest=sha256:a44c701b418922356bff9b147ba15f614cf3791e2f53f8339ff4d39a765ca162

Observation 60f2c7e0-9558-4f9f-ace4-23765976c6ac · outbound

This paper cites Isachenko and S.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Isachenko and S

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.641847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.061795Z digest=sha256:f393e1393e57e66a0f6da544490387708b23dd8c2f86db478235f71f869f9c0f

Observation ee4c0b71-5200-4a64-b4fe-b0f213defef8 · outbound

This paper cites Jupyter notebook,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Jupyter notebook,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.616842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.066964Z digest=sha256:4f881208a52d4c28c17a3a395fa9a4ed7f31653f3fcf7226cc62af642feb34e0

Observation bdfe368c-cdac-4b17-a286-5eb042ebc80b · outbound

This paper cites Llm-pilot: Characterize and opti- mize performance of your llm inference services,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Llm-pilot: Characterize and opti- mize performance of your llm inference services,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.595637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.072007Z digest=sha256:8f0b83847c46be2a52a007c5734d396705faa4f056e60797897f1b1fee01e2eb

Observation 096b64cd-4a1f-4eed-95d0-a459a6f70acb · outbound

This paper cites Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Reference 23

Resolution
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no resolver link, observed 2026-08-16T00:54:24.077872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.077872Z digest=sha256:f5df73db4bdb45f082ad0d73d35735473fb8d1bc184c018f92a28b21a57cfe80

Observation de180b2b-b727-4755-b3ed-48fc46439dbe · outbound

This paper cites LLM Inference Serving: Survey of Recent Advances and Opportunities.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study LLM Inference Serving: Survey of Recent Advances and Opportunities

Reference 24

Resolution
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no resolver link, observed 2026-08-16T00:54:24.083723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.083723Z digest=sha256:0633c4aa17e24ff899953039dcd924ca36c0711455df02ce194a7aca72b9c298

Observation 70632bb3-4c5f-43a5-b4fb-7de957e91f07 · outbound

This paper cites Shodan: The search engine for internet-connected devices,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Shodan: The search engine for internet-connected devices,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.574419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.090988Z digest=sha256:b13f252ee54cf71e3624cd9c3b61d3a18f118c7e4c63b2fdd8da58ae2bccdcef

Observation beab990b-f4f7-4fb5-b78a-ff9766b49ffe · outbound

This paper cites Web llm attacks: Unveiling the future of cyber threats,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Web llm attacks: Unveiling the future of cyber threats,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.555421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.100372Z digest=sha256:1c04fb4f702b2ca6b5e0ea34abea6acc5fc1c8c043db7f156dd1aea2864c6ed7

Observation fd527187-8662-4aaf-8151-88cdb8baae8b · outbound

This paper cites Apache http server 2.4.29 vulnerabilities,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Apache http server 2.4.29 vulnerabilities,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.534835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.107281Z digest=sha256:9ec1be2b73fc7e76f0a8d0104ff62aa82fde12aef90d242513b239aa6be8dcce

Observation f812c183-6570-46a7-82e2-e97b6283d100 · outbound

This paper cites Nginx 1.14.0 vulnerabilities,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Nginx 1.14.0 vulnerabilities,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.515930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.112975Z digest=sha256:c3390b6b8fde2b97e07100ce72af55facb6c844ace1be622664cbf7292db7f36

Observation 05a1c0f2-23c1-4a68-886d-5792e89b3146 · outbound

This paper cites Gpt4all,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Gpt4all,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.494184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.119412Z digest=sha256:fa4e90312961d1791acb33079c274983dabfc09902df4086a40bdd3b0883ae32

Observation 178f2340-2b54-4f58-b15b-d14cbe101cab · outbound

This paper cites Cve-2024-37032: Ollama remote code execution vulnerability,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Cve-2024-37032: Ollama remote code execution vulnerability,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.476241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.124565Z digest=sha256:95914c0187d7100651cf7ee22d3ca4b03922499f29697de84f55afa62f000ae4

Observation 0b28a777-6532-4a4d-9d1b-6d34aa95aafc · outbound

This paper cites Cve-2024-6707: Openwebui arbitrary file upload vulnerability,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Cve-2024-6707: Openwebui arbitrary file upload vulnerability,

Reference 31

Resolution
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raw_fallback, observed 2026-08-16T00:54:25.459162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.130362Z digest=sha256:e88928264815ce4e8276fb3b2b5db87d746666c66ff8cc03b09491d6eae16747

Observation e856cc42-2d33-40fd-b38b-37095f6ecaf3 · outbound

This paper cites Text generation web ui,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Text generation web ui,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.439537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.135558Z digest=sha256:b463ace2ef40ca85384033a90d0bad84b85f26da70cd797faa2055bcec1e19a0

Observation 3bb02ae5-3369-4e55-9113-b9c4950576a4 · outbound

This paper cites Introducing openai o3 and o4-mini,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Introducing openai o3 and o4-mini,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.402820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.141958Z digest=sha256:848f6159fec99867b5fb3b51cc43145ccc9d1ee4c8ee6f704809900fb2a71d98

Observation a941b119-3a52-446a-b9b8-25d9d4917129 · outbound

This paper cites Security considerations for large language model use: Imple- mentation research in securing llm-integrated applications,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Security considerations for large language model use: Imple- mentation research in securing llm-integrated applications,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.382295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.147373Z digest=sha256:6ff35f43afe8d58f3202f1c9bcc80a5c75bbb7e024aeda7ca09dfd0f8d3a8a00

Observation b511e7ac-236c-470b-b6d0-ab0894b576b5 · outbound

This paper cites Llamafile,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Llamafile,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.361714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.153169Z digest=sha256:0cf9a664be3ded99043c69201b7498bde921618666cc69a72f68b410fcb0ba51

Observation f6ee9e00-2474-4e62-b044-8ec54b8e4c4b · outbound

This paper cites Fastapi/swagger ui,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Fastapi/swagger ui,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.337876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.159060Z digest=sha256:9008663f86e08ec3c349150a899e528720bb853ca7abbb2e565f66e780bc969a

Observation 1c3dfb6b-6319-4057-8fd0-49e3776c7359 · outbound

This paper cites Building ai agents for autonomous clouds: Challenges and design principles,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Building ai agents for autonomous clouds: Challenges and design principles,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.164841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.164841Z digest=sha256:c6fa25530d1466fbd3c4a2c8fe5c3844a5bd2fb11a6d922da767855c9f13239b

Observation 280d88d1-9d6c-45ac-958c-f2ab39b06dff · outbound

This paper cites Anythingllm,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Anythingllm,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.317984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.170361Z digest=sha256:66d482168f1bc4ce5aeab258c2eb687b7fe5d57d346b3a5fe9bf73dce6728c22

Observation 3d1675e1-b179-4a16-8d56-ef6aac6c0672 · outbound

This paper cites Team, “Gradio,” https://www.gradio.app/, 2024.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Team, “Gradio,” https://www.gradio.app/, 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.295733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.175690Z digest=sha256:3d2ca5cab6f904fa637f46e78edfd612559a1b43da6dbb0885e13a478c8a91a8

Observation a859af95-d3d9-47cc-9bea-d8c3bf4d9388 · outbound

This paper cites Team, “Jan,” https://github.com/janhq/jan, 2024.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Team, “Jan,” https://github.com/janhq/jan, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.275930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.180503Z digest=sha256:9d3c24ef554fd1e946336db621cd6023d5ea83a93732648c70474847c7cb4932

Observation 06933c7a-4c3a-4861-a8a1-dea78e30082a · outbound

This paper cites Zoomeye: Cyberspace search engine,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Zoomeye: Cyberspace search engine,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.251772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.185617Z digest=sha256:6dfcc2d971500151a5428e1836970f791707200cc4dc79ae273c01a6998770c8

Observation 5ea4dba2-8848-4a02-a98b-f354dd4cf2c7 · outbound

This paper cites Team, “Ollama,” https://ollama.com, 2024.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Team, “Ollama,” https://ollama.com, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.231025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.190422Z digest=sha256:4eef1d4e9f5ed71bed78f88536efaf0ec0041aab6d847eaae600d604b82f8d40

Observation f1f53fd4-7996-4337-967c-5d27c8f8a569 · outbound

This paper cites Open webui,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Open webui,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.207922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.195728Z digest=sha256:2d6fb078692ca0e255f32fb91c07a0d4f050c6e76704a025e8878abf83696149

Observation a6ff5473-9974-4eb3-ac21-470cb0fa7928 · outbound

This paper cites an unresolved cited work.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:25.185955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.200912Z digest=sha256:fa1e6afc9b536b068a8e5077e59f2daee9e29c521cdce3f25f3a1530c11a2127

Observation 27b5b07f-b9a9-48af-b472-e04446de35e7 · outbound

This paper cites WIPI: A New Web Threat for LLM-Driven Web Agents.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study WIPI: A New Web Threat for LLM-Driven Web Agents

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.205896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.205896Z digest=sha256:1d97f658760c8f2ed4abd53aa641c8aa3f4f4f7203018f2c3904639dcc8cb72c

Observation 451a3bda-b9d0-419b-a5af-d82acd143c0d · outbound

This paper cites A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.211372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.211372Z digest=sha256:409f7f16956dce9ff5036e0e3c68ecd7043e19638570c0b3109f6e7e10602a35

Observation 03ed6688-f8fd-44f0-b243-c93aec143344 · outbound

This paper cites I know what you asked: Prompt leakage via kv-cache sharing in multi- tenant llm serving,.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study I know what you asked: Prompt leakage via kv-cache sharing in multi- tenant llm serving,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:25.165955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:54:24.217033Z digest=sha256:9bbbe500e6c92a13b2f00a3bdff06ca4017cedff998b90ae8f6a338c15917634

Observation 9e655410-bbf4-48fd-b458-71979468f8ff · outbound

This paper cites Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.224071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.224071Z digest=sha256:c84afed3730e624fcf4ebc738a0a00168d342345eba06f75f02d41d3e0f5cbb7

Observation 99cfc477-935e-4aad-a5a8-7caf26e474b1 · outbound

This paper cites ControlNET: A Firewall for RAG-based LLM System.

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study ControlNET: A Firewall for RAG-based LLM System

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.229834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.229834Z digest=sha256:32bf5aea1c678b3bf069199ee786a616cdbb7ab1b5f34b845ff002424d5dff58

Observation d44d6686-b7d0-40db-97b0-45742c153862 · outbound

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

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:24.235822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:24.235822Z digest=sha256:f28b2ce0e291de430ede5c45eae20900decc1948d29e14a6731360acd9b4b94a

Pith citing papers

Observation ffd7b124-a861-48b0-ad96-ee31c3574e08 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study

Reference 125

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:32.572789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:32.572789Z digest=sha256:63a02a2cb2b6c1c5411585fe8347c9280f94c3f606e8d00a4871283707e0edc5

Observation b312e1e1-f7f2-479f-b9d3-7e98a4115077 · inbound

Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP cites this paper.

Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:07:20.701943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T05:05:16.370606Z digest=sha256:0a4450619a53fcb7530084f312ef3344d20cc1e1a41e517994e318c066352d88

Observation e990749b-8c08-434a-988a-dde919fc05a5 · inbound

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face cites this paper.

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:54.710836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T19:11:27.071800Z digest=sha256:e31872e706e57cb39a8cc8fb7a88b9c95a0572621d2811ad64d66fdab5b27604

Observation abe03780-a8ff-4b5f-800a-8c1ef7b624fe · inbound

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face cites this paper.

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T16:43:10.583336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:43:10.583336Z digest=sha256:68332e0aeeb9ee8569cec67b16ad8afcf115632e4f8b4c98ce87d766c2473e5d