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Paper Citation Record · LEDGER

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.13385.

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

pith.paper-citation-record.v1
2606.13385 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:20:04.789341Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

42 of 42 outbound references displayed

  • verified exact22
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5d5d9a8-a372-4c72-981d-e893a004a023 · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 1

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unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:d435ce83dbb77f875b10dcc408b00d3523d3b192d109dad4413b8b3fb314e59f

Observation 2cdcf74c-44f1-43cc-a843-76d53ef790bf · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 2

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no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:7def3e2c19391676ee3fb9d203eb33f8df697bd8f77ba94e759622d023d5e1ef

Observation 2574e85c-ee2b-42b3-847c-e127e638e12f · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:215560988791f5b78bbe2c0491ce74390380e227fa6374effdfe137e72fa93c4

Observation 84058bde-abdd-46c2-9f70-e575f69f105c · outbound

This paper cites Zheng, B.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Zheng, B

Reference 4

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no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:8561c4c3450d35fd60a8b31708d893c5ed1cb6b4ae90581fc5ca30e5a54b042f

Observation e2a1b1ae-6fff-490e-b9e5-c29ff0ae78ae · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:339ed89391c607a2d2e2b1de71d3c9155482de09f59a850cfb52d1a9cfcf6f4f

Observation e59577a3-d92b-4562-bfdd-d95e7ac31123 · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:c2ae71159a5a9f1eb5423bd51ca8376c64a86d77862a5c9c65548c7d9be9f62b

Observation 4e322c11-3acb-4d0e-a7b4-cee20401cb7b · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Ignore Previous Prompt: Attack Techniques For Language Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.872170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:b97b1dd1f0a97cf74b8a0aacf159b34812bb6d2c95face300588581c90feeaf6

Observation bdb17c56-6f85-453d-b0dc-b71d1c37209b · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 8

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no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:75e6a1cfd80c14c73aa1849b4d6a1fc3067697e11059be09d5e65bea736a4296

Observation 932c5dea-7d2c-4be0-a881-d4c57d4108f2 · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 9

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unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:1a71c6a926247ce4e14ee33e9ca7354d0043e86f1456fb155e96e8e0432ee41e

Observation d6774961-b2fd-4818-b864-9ee8b0cdb829 · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:87ae03a69e1e23053be03df95d34d1488acd6e2da55af5c2c62d4950922fe9e0

Observation 932db100-12dd-425c-9f95-22a10706fbb2 · outbound

This paper cites Agent skills enable a new class of realis- tic and trivially simple prompt injections.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Agent skills enable a new class of realis- tic and trivially simple prompt injections

Reference 11

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verified exact
arxiv_id, observed 2026-07-03T15:48:35.871466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:12236dc17841a5b408e139f383e9729748931800d5dedda0fadac5e934151727

Observation feca9d20-b067-4135-afa2-fb5e6e604f1d · outbound

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

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.884551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:c52ba32bae32d94487231894ff5fca3a8dcb47bdf9ac3411b10c3b02768b7097

Observation 89d15486-efc0-42b6-9f53-cec4f30be0cf · outbound

This paper cites Identifying the Risks of LM Agents with an LM-Emulated Sandbox.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.866785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:dae3d52bd4fbd19de36c10336e50b992c748edbce20cd1acd73f31d2cd535fe5

Observation 5649493c-6fb9-4c0a-99c3-fd1d0f6f4ac0 · outbound

This paper cites Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution

Reference 14

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verified exact
arxiv_id, observed 2026-07-03T15:48:35.889462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:6e96c0502fe0b7cd78c6e97057c383c917b884f3531b09ef20fe534124064d0b

Observation a21e458c-fd05-4bf8-ba53-82387161c6db · outbound

This paper cites Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents

Reference 15

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arxiv_id, observed 2026-07-03T15:48:35.877012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:f5913ee7e56c66712b6dccd20f83aa68127c1fa7b5741adc48e16a5b6468655f

Observation 6ac1b8d2-3149-4362-adf8-b998fb7df876 · outbound

This paper cites Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents

Reference 16

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local_arxiv, observed 2026-07-03T15:48:35.862017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:9dfc3be812f9210b3e221868cddce525e45e995d4985e47d424679e0e86bcfe9

Observation 7a7d5677-42de-4852-adc9-ef8a4336dca5 · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 17

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no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:8d1ebb59cfbc22b46de0e1982e2c4c8d106fb851ab3f667dda2b6a4bf5565b6b

Observation 1b0591c1-fdaa-4674-b416-0a49f369a43f · outbound

This paper cites ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents

Reference 18

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verified exact
local_arxiv, observed 2026-07-03T15:48:35.887057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:94116a0fe71f7f00f38d5075504588460d993327a8618345d9693d3b0783934d

Observation 4e304293-76e4-4bef-8d54-476547156fff · outbound

This paper cites AgentDyn: Are Your Agent Security Defenses Deployable in Real-World Dynamic Environments?.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents AgentDyn: Are Your Agent Security Defenses Deployable in Real-World Dynamic Environments?

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.874723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:b5bd2b1d613ad069d53ff7dab4f8eaec1c322ee248e458c723a97637843e031d

Observation 6881cd78-dcdb-4fb2-8321-c269600d4ee9 · outbound

This paper cites When ai meets the web: Prompt injection risks in third-party ai chatbot plugins.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents When ai meets the web: Prompt injection risks in third-party ai chatbot plugins

Reference 20

Resolution
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arxiv_id, observed 2026-07-03T15:48:35.869731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:7647ac646963b9eb86490ce10308656bb99e492fab4bc5dc85e3165374123705

Observation d7b860bd-8f5b-4709-86aa-4511ee66deb3 · outbound

This paper cites DeepShop: A Benchmark for Deep Research Shopping Agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents DeepShop: A Benchmark for Deep Research Shopping Agents

Reference 21

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verified exact
arxiv_id, observed 2026-07-03T15:48:35.854474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:6dda2e3a5b1cdd0a24930b0a8a8736eea50f1e51f576a0bcd42c680e20801eb1

Observation a9455e81-67bc-4528-85e6-2190f6d19e18 · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:b1d2d2e1c036c0195cff93b79fbb0905fd9ab666f31293303b2e34e414015871

Observation 1a4d57e5-2e25-4446-a9b9-08e7d43a8b95 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 23

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local_arxiv, observed 2026-07-03T15:48:35.876358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:3cc64cc1e00f4689396504bda661d828e49828ba899bab57994ff09a3b51a3bd

Observation bebd4911-be81-46f7-a833-382a4accfa43 · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 24

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no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:367727763423d749d7e1229060b4939b68daf45b872f32e4bb23a6f78207302f

Observation 2d6bc6a3-6e4f-45ef-b340-92634f7ca883 · outbound

This paper cites WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.882057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:34bbc48419369999df0d6c22a0c5b107665397d240d9f802bbe5bdec5d7822f2

Observation 964f32a0-2771-46da-bce4-0f5fcbe2ee67 · outbound

This paper cites A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.839441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:109cc895beb1601e5892e8d497ea5585948b87e3680fc1a3980cab6e0455bb09

Observation dbe77841-d356-43a0-8650-63e14caaef1c · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 27

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no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:4a0c04d21e4ad459dd8a5979f290c0562d36ada6b6af12d5c8d7e2867c56a294

Observation 391980d0-3530-4548-b706-a364ae10fb7e · outbound

This paper cites Greshake, S.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Greshake, S

Reference 28

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unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:dfea46942de84343d872f1418ffca9a31492989a737dc231f029b71dd53d1a93

Observation 7032f6e5-119e-42db-8f6d-d331ad0a39d6 · outbound

This paper cites Prompt Injection Attack to Tool Selection in LLM Agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Prompt Injection Attack to Tool Selection in LLM Agents

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.839231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:e278b41e1c2980b851d8f5fec46edc859c5438564f1a984d955ed0fb4aded2f6

Observation 324a9997-05b4-47e4-bbf3-1103c7cc25ba · outbound

This paper cites arXiv preprint arXiv:2602.10453 , year=.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents arXiv preprint arXiv:2602.10453 , year=

Reference 30

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verified exact
arxiv_id, observed 2026-07-03T15:48:35.841681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:792015dc00db42e15dbe4836b8adc6c42bee3db2a59800cd82e35cb2da8ec85c

Observation 2a182045-cd18-4642-ab45-61bc7a646b1a · outbound

This paper cites Agentdam: Privacy leakage evaluation for autonomous web agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Agentdam: Privacy leakage evaluation for autonomous web agents

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.851858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:4618d8cd54663f1e53ddcb535de9822863236d0951e886280f918433c5f22daa

Observation d67f0b93-7014-4a46-a52a-daa165c2575f · outbound

This paper cites Os-harm: A benchmark for measuring safety of computer use agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Os-harm: A benchmark for measuring safety of computer use agents

Reference 32

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arxiv_id, observed 2026-07-03T15:48:35.857190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:a74cfac3afa5086b2ec7b6d4f9364f3ae8a1796ed2b24163020396d93bf5dbfd

Observation f55c4194-4fdc-45b9-a517-bfcd0fd8a33a · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 33

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no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:ad0eab4a6d0ea6a3b817d2aba9b4e9cf13f367965bae105a986f7a8f6224d8b6

Observation 47eea026-877a-471c-b005-96cd06cbc16a · outbound

This paper cites Debenedetti, J.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Debenedetti, J

Reference 34

Resolution
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no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:e30af8afe6b0fbc3cca6369c0caef42ab43480e9ed8176280088b16ba80fcc6a

Observation ae28ef6e-c7e0-43e4-bac7-60e3e5c919e2 · outbound

This paper cites Muzzle: Adaptive agentic red-teaming of web agents against indirect prompt injection attacks.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Muzzle: Adaptive agentic red-teaming of web agents against indirect prompt injection attacks

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.850791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:678f0f567077edb003a01a3f8b3784d5a5f0fbafb244b1dd7faf7a46bd0f4759

Observation 4c0fd225-4075-4993-bdc6-d4979a9bdaf8 · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:5e5050f8589524dec1d6cf4288be57eba7736060b6123823cf04424991fce9b8

Observation 67cf293c-2fb8-4f11-b524-760478c2ea2c · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:529429eeb6145e51944ad85cdbd6e26a39852280be06cdf3f14643f5dc396509

Observation aeb698de-98e8-480b-9b20-8dfe3bd6cdab · outbound

This paper cites OpenAI GPT-5 System Card.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents OpenAI GPT-5 System Card

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.879733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:827b9a3b177ca6b93de13a6f5069c235556e038428aab1092d2cef1e3de6de7e

Observation 4c3f2ec1-1149-40ed-a327-bffe52f74b6b · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.859711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:19da45f2e58f7641c0201576bac9fcc4e6bb772e5c19bc007501a5a8ff500b89

Observation 96bad086-12c2-42ba-b5ae-69be35cb8f96 · outbound

This paper cites Dissecting Adversarial Robustness of Multimodal LM Agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.844469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:e0986584e36f22dd32d5ff8fd8f408e479d0155e2c42b1dbf240f6cccb3314a0

Observation 6707b23c-76b7-4b1e-a20d-10a117570cde · outbound

This paper cites an unresolved cited work.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-27T06:20:04.789341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:231d0ffba5effdc54cdd86fa3011d445787521fa87273c435d01d2a7860f1c1a

Observation ec4932f7-6021-494a-86eb-1c3333332a4e · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 42

Resolution
malformed identifier
local_arxiv, observed 2026-07-03T15:48:35.869073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:70c88531c9257199fa12e5023dfbfd3845ca557a5c83c90224f858bcb2c1682d

Pith citing papers

No inbound Pith citation observations are available.