Pith. sign in

Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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

Resolution
unresolved
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:bf0dd9aadd1ee7ef2d5cb35f366702376190554ce692cf697a6d6199717a4e8d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:23.961995Z digest=sha256:88070dc837b1127b0377ccb8994ab8d47fb21909241fba1900326ba0471ab2f7

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

Resolution
unresolved
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:c190c9d94bf5d98a9d070009ff04e0edf9076936cd29aadaa4286f9783f749fb

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

Resolution
unresolved
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=sha256:46e75d11ea60057c9f29839a0d6daccb4af8642542797bd788ba6595c72647f3

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

Resolution
unresolved
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=sha256:2de387971f03c08ec2acc6c62521c109a32a12bed646024eea5a70cc3b212a5a

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=sha256:2a329fe9b314516b3e89d8ca9db7ee2ee208bd1269b5fcf2e2b8c20f957cbc29

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:23.990530Z digest=sha256:bffb4af046edb7f1d5c33984cc418fff1ae53200b683b6a86318eb5f8eb51186

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:23.995933Z digest=sha256:bd3ce8ae1a38757643ff42a003df506a15cbabb404b44caa804b262ec10370ca

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.001284Z digest=sha256:b90ce9673ae5f1236442fb4722b2c6c8ddad98488c1187f4bcd77248a7dc2e73

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.006872Z digest=sha256:dbf6b3b17613709f605c3be130d770de1d9864146017dbafca96c875e367082f

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=sha256:327c0ef1c85c4bf98e4fa89ecc9580b97c2eb08a2f817eed1f199c253225ef9f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.019153Z digest=sha256:b0db8279a44f9e7763a8756d34da7e585c519cec3d80782c8644558a32c1a9b1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.024408Z digest=sha256:1dc872329318488fd246bec1b924139d8cc16397ff8aaf089443f5a2851baa73

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=sha256:2376ac9d0c20df1feb7397036c2cfc528c196bea188f6dac4e6d3508f47f3e2d

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=sha256:0e104074e9508afa28f58a5746c3b11f7f9a5b9a3cbbd80354273886c47fead6

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:e3cd1c4cb5b3f357f6106753122291bcf84c367b664c4287cc609f9d1c340b0e

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
unresolved
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:e114725c813793d9e25436ec4b81d4974febb58fb591d99542cff0afb57130e8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.050675Z digest=sha256:79d0532b776469ccaa1aa256ef64371509c1aeb6d08e1884fa72a5d6b60d6fe2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.056161Z digest=sha256:f57950415a686b8b41fa534bdd4da6b572385fe1affba61228c20059b9c102e1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.061795Z digest=sha256:7bc8cc31ba04675ce74a831bb39bfb22e5b2e07bdd1caf29f0028af2444752c6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.066964Z digest=sha256:6faa7e484de02e319d42c801266c10257eaf5518b863e32db52e34c6a84e566d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.072007Z digest=sha256:824bd41461a7e5344e5df8febf84adf3f83842511895b6200e3e48425c2b77b9

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
unresolved
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=sha256:9c14d7c01b4fb2e1efce1647f3cdcd96a7ed86e5fae70ae1137320c9a48c5390

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
unresolved
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:af73876b6a76f9e38e89e9c9ae5337fd92f06f17f32ad756ab423d9a69ad508f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.090988Z digest=sha256:fa3c37d75c500fa7686b903499186eb3ac75be6be4c0d2eb8015aeb72c2bdcfc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.100372Z digest=sha256:f3d2f9ca0d0b01119c2f84adfc1f6130e206a8cfbd01d5c44d12b2503f1914bc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.107281Z digest=sha256:c7243ab19af9ac0591484d028c5e63eaf184a0b3f38938d62f3de96911da5cb0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.112975Z digest=sha256:288c6638f3cee4e74c6f4480e4fcecb8915bf786e2af89d0e4098dd160dcfc4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.119412Z digest=sha256:55247dc395f8ceb22a1b3d090d795c118c6d9c23c4918abeab05c93ec4060116

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.124565Z digest=sha256:c495ec6342984f92cf464faabca05551f25886be9dcfe72840c0c6187dab84fe

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
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.130362Z digest=sha256:2dd84a44355a898459c70570745e70057dc660a967a357854138efa5d2a23de4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.135558Z digest=sha256:d28385190b2c381b0048f9c2391f62c22855e0cfd2b7b8f323cea4bdac97d018

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.141958Z digest=sha256:d6766cd7944e1cd31141c169bfbaf58a5af9adc5561280019990370a85709a37

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.147373Z digest=sha256:7fa965924b1ec0fed7bab421aa97b7f724a63af48d0f1ec5672b7976fa69076f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.153169Z digest=sha256:cdaea3a6c931e7c089e61e7e01f43adc675555e5c9ae9fc567d310fad549fe13

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.159060Z digest=sha256:5f03c8c234b93ff48c379a3be04eb1aea35d65d4480580a94b15ada7528caab9

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=sha256:99ed669d16e6ecbb6a9393e16896cacd8c92896cff4e7b2e11b9b5de58f379cb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.170361Z digest=sha256:a076afe9f0d1ccf2904a2b731e4aed77e900ad73a10d64df3d0aa2f06e041c92

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.175690Z digest=sha256:0fd7fe31cbfb2a6326a044f540ff18c0327366a11446b43fe1f4dcf6137246e9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.180503Z digest=sha256:7e4c97ac3ce377fef8a991cd0cee1227ef771fc4776578f808dc2ebacbb7ce4e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.185617Z digest=sha256:74a77b7397fb2ab3370106b10b247492114178ff11788618e08764a2ef2e02ed

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.190422Z digest=sha256:a77c33330e4e5a6c4258e6fefd54f3f130ceeb0c9e36578602e93e3fd4b8c8fe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.195728Z digest=sha256:e560d02c4b0f06f04f5ae005ab99ca39df025a8f4377e3095f573483d63fe253

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.200912Z digest=sha256:49ff5fee168ef298df655b317d7e4194fc1897fe3a9cd11fbe029dd648ccb93a

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=sha256:201846cf5cc0183b2edcd13d5b4bc031a04f2d76902be850c2e01b349fc019be

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=sha256:4c4e45817ed717d2a834d0fefbcbd76f97c46aaec421ffbb6c932cf7d7c47a13

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:54:24.217033Z digest=sha256:4666d58a0e967d58588ec88fa709c3e1449e07b8ecd52aac73cbc9e39064de98

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=sha256:08d5ca184f44a34714638e27c00b1d5f64754f1f4f6246cf817fef38d4982e20

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=sha256:70c6e2f797e69ebc5985f85c0e4838763ee785a8f26e6959bfc77b1405efb6bb

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=sha256:93ef99c130bddacb53e2fde455304f8c20fd293595df9672d3e26b94eab527dc

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=sha256:43b03fa28aa8d857511fa13f84407e43fb0538e7a82dcad69c504d31a6153703

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T05:05:16.370606Z digest=sha256:222a91d94f81dd8decea810c5f19e80599c7b1e93bdc1a350a4b77eda34d2452

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T19:11:27.071800Z digest=sha256:a2fa889c961adb7791d15fdd079fbbb55271f61bb985863a07c48f87d91437a0

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:d0840b665a9154219b7696449a72516c4885b4ac007acebc5911597f8d950c4c