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Paper Citation Record · LEDGER

PromptShield: Deployable Detection for Prompt Injection Attacks

As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2501.15145.

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

pith.paper-citation-record.v1
2501.15145 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:38:10.831214Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:42:00.944376Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:51:28.498764Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9b0e2eb-903f-4636-8665-20e675895086 · outbound

This paper cites Synthetic Python Problems(SPP) Dataset.

PromptShield: Deployable Detection for Prompt Injection Attacks Synthetic Python Problems(SPP) Dataset

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:11.422630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.655185Z digest=sha256:997c7d6fbe7edbe235d76d2b663716ab2b69da6c099f08d2f478f7cdc4cd4347

Observation 36789142-a7ab-4226-9758-8c02a1c5878e · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.411292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.659639Z digest=sha256:f98866516271508073fee7dd9e91fc04e8a85dd5c0796c1f63879e4408723ff0

Observation b4123771-61eb-4ed3-a78a-1c1f87e2bb74 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

PromptShield: Deployable Detection for Prompt Injection Attacks Evaluating Large Language Models Trained on Code

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.663848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.663848Z digest=sha256:de61a4dfb26e10eff0e61665016ac85af6f90fdbb0e6d071d3d35d51b5ebaf26

Observation 0a101140-b35d-40a9-8e31-31de44155a63 · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.400205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.668580Z digest=sha256:1620bdcb6c9ed1bc615f8dd226b95e8bc54072476bbf40aa876779b0abab1aa0

Observation c1a4e108-e2e6-4b2e-9b53-f1cb3e6f091b · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.389301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.676549Z digest=sha256:d848d5a3ca4b663d0b4a1143d7cbddfb2e7e82c401fe17948b12194b4ff74adc

Observation 0bea6be7-c00d-4a10-b2ce-9485abc9f5e0 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

PromptShield: Deployable Detection for Prompt Injection Attacks Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.684491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.684491Z digest=sha256:e9aec0182f6efad0d5d63829f650af14737122396669c9561d3534658bcf538a

Observation f758adff-8c80-43eb-b06f-7ef53093eb12 · outbound

This paper cites The Llama 3 Herd of Models.

PromptShield: Deployable Detection for Prompt Injection Attacks The Llama 3 Herd of Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.689007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.689007Z digest=sha256:5aea79c551716f9e1687d9d600d5b8342756c4a72a8921e641ad4fcd6d4f7a5c

Observation fbc2aa10-db96-429b-aaa1-a98bad8c4ef6 · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

PromptShield: Deployable Detection for Prompt Injection Attacks Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.694084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.694084Z digest=sha256:4938b754cec4a51d40880ae10fa2040aaff8c1244f5932bb0e84481f184cd2a2

Observation 430734d5-0bb4-45a0-a7b5-c64c1fbfdc8b · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

PromptShield: Deployable Detection for Prompt Injection Attacks DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.698026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.698026Z digest=sha256:ff0c227aaa18352658e3877137dec4a515dc8a5426d5af318809a96f82e974b8

Observation 4e929d92-b2ea-4cdd-9efd-3a711c335683 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

PromptShield: Deployable Detection for Prompt Injection Attacks LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.702531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.702531Z digest=sha256:e8274d4008466ca79f9bd57b10c653d2272dea80ca8bea688683c337f0f0baf7

Observation fa8ae770-decd-434f-9019-873469b9d942 · outbound

This paper cites Attention Tracker: Detecting Prompt Injection Attacks in LLMs.

PromptShield: Deployable Detection for Prompt Injection Attacks Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.707493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.707493Z digest=sha256:15301a97adf733740b1495cd1f0854fb9f56167d9305e89edf71a91278359c28

Observation cdc94ba1-f4e0-4a7b-90e8-0d987d8a083d · outbound

This paper cites Challenges and Applications of Large Language Models.

PromptShield: Deployable Detection for Prompt Injection Attacks Challenges and Applications of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.711675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.711675Z digest=sha256:33e5cf2e639be2e2c3250230f53f3230e3086f079b5de8aca6749f95561bffac

Observation eb4b1d80-ee42-47ef-97bb-5c0b891f7f69 · outbound

This paper cites InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models.

PromptShield: Deployable Detection for Prompt Injection Attacks InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.715889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.715889Z digest=sha256:2fee5d4d7e36dc57e7ec7e8e839a39bbe6aefdfa069734dac01f615f12b93334

Observation 3a570b69-e696-44b6-95e1-7fe185baa0b3 · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.720746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.720746Z digest=sha256:e9be674bac9667de5444a45c247dcf67551473de582c43802d2c854ace388dd4

Observation 7ec546d2-09b4-454d-8931-417970feef7e · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.358799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.730931Z digest=sha256:17c80ad319aafd64e6abbef996a994a18769b3aa797b1f7050c9686c4e3d6c5d

Observation ae868522-a959-4baa-b726-6accbe7b7d78 · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.347571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.734732Z digest=sha256:7d7d1068f0a6a9e17ae126f94110a2bf0c90de68829e9a4c657c2516aced8ce1

Observation a449f3a9-6ad2-4080-8ef6-29338e173cee · outbound

This paper cites GPT-4 Technical Report.

PromptShield: Deployable Detection for Prompt Injection Attacks GPT-4 Technical Report

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.738851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.738851Z digest=sha256:4e90b7671b7631627349d71977e6ccb77f000c3d1e14601e9f0d9b8ec053fd3b

Observation 1cada18d-5cce-4dc4-933c-4c10486c5a70 · outbound

This paper cites Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al.

PromptShield: Deployable Detection for Prompt Injection Attacks Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.743167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.743167Z digest=sha256:9d6e0e0c7408cc1447bd86b92a32f8f65beec7f271300cbeb24e1ca54512906a

Observation ed18f4c6-1517-4f7b-a14f-541740e2ccbe · outbound

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

PromptShield: Deployable Detection for Prompt Injection Attacks Ignore Previous Prompt: Attack Techniques For Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.752114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.752114Z digest=sha256:e07dd6a5747349204e7ca5a336e9dba8de1e403b351f5d792f544915358e4920

Observation cd390d15-0022-45d2-88a3-f93878cbf92f · outbound

This paper cites Jatmo: Prompt Injection Defense by Task-Specific Finetuning.

PromptShield: Deployable Detection for Prompt Injection Attacks Jatmo: Prompt Injection Defense by Task-Specific Finetuning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.756911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.756911Z digest=sha256:2b96c6c0f574122a0cafb7d3962498051d92d5b2f7f2549292a35d5906eeaeea

Observation d306e8c6-4453-470b-87f5-bc4c825e1ff2 · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.327290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.760989Z digest=sha256:97371a9be2ac46f9cf4f66ab33d55457ed271d1b0f8d05aeee6ef40166bc3959

Observation a4944b51-6881-4a3f-98cc-bc88dbeaae2b · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.314722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.764678Z digest=sha256:4860ca5368c9fadb7ed1a8bd5def14ad2f70a9caaac261b7e1262106b14172b6

Observation ea31d402-a21e-4380-a1cb-175ead1a2da6 · outbound

This paper cites Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks.

PromptShield: Deployable Detection for Prompt Injection Attacks Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.768234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.768234Z digest=sha256:134b015f5a4cf4df0ad139e429d7823b7d2fd1928719e119e4923445d96c169d

Observation 8a3c8de3-e72f-42e5-9b9b-750ed42eba3e · outbound

This paper cites Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition.

PromptShield: Deployable Detection for Prompt Injection Attacks Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.772475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.772475Z digest=sha256:9cf2713e9383658f17c8022b4723efc9834e650f3a062bc3b700fd96a8b63074

Observation 6d4a26dc-8e4d-407d-98e8-7b3ce237e84d · outbound

This paper cites "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.

PromptShield: Deployable Detection for Prompt Injection Attacks "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.776605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.776605Z digest=sha256:4cc5ad38aa7350f234bae24b26547b8fec4dc8bc64a338e561ec03e7970b8a88

Observation e954736d-74ad-432f-bd8f-3297b2cc3764 · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.303077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.780646Z digest=sha256:ec6db8484c4fc433204f75bc81ef295910ffe98d68cf2713830d2f06e87cd158

Observation 6daeda31-1370-4c4c-b7da-e9c02c435b21 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

PromptShield: Deployable Detection for Prompt Injection Attacks Gemini: A Family of Highly Capable Multimodal Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.784378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.784378Z digest=sha256:fbe5b411e7d8f1f35c6ce53823de0576e60dd5a271ad12dc4bc0e6ab7ee98b16

Observation 9031ac05-1c26-46a1-b7ab-8a8391e3d086 · outbound

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

PromptShield: Deployable Detection for Prompt Injection Attacks LLaMA: Open and Efficient Foundation Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.788382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.788382Z digest=sha256:6cf927900758b361faa1e7bd7ef51e27a316e91873e02b7782c3fe12f1383487

Observation 49c8ba2b-bfea-4f87-aeb7-6f2aa4cd2269 · outbound

This paper cites The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions.

PromptShield: Deployable Detection for Prompt Injection Attacks The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.792153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.792153Z digest=sha256:b4b757054c6370491c5f1234a1997b317582b1ec38ac5d3156c6511a72cf9016

Observation 0d80e17d-1ac1-4b7c-befd-95140e1ca5c4 · outbound

This paper cites CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models.

PromptShield: Deployable Detection for Prompt Injection Attacks CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.796063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.796063Z digest=sha256:25666d6600387873e54002a41abacebc0cf06d5bfcf62809de35ebc1b2fab3f0

Observation 6e641870-270d-4651-ae70-77cf1ce74a13 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

PromptShield: Deployable Detection for Prompt Injection Attacks Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.800055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.800055Z digest=sha256:e79a6c7bd23fcde74332d684aa28fd19c7c005fa6a35663ed2f50db3fabe674b

Observation ccf65128-c3b4-44fe-8758-92a5eace32ac · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

PromptShield: Deployable Detection for Prompt Injection Attacks Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.804159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.804159Z digest=sha256:d830f9b150848f5a1a762267c44bf695622f530daf6ee24692c83c3e144b978b

Observation 28f8851d-78e6-46dc-9232-b2b29d79ece2 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

PromptShield: Deployable Detection for Prompt Injection Attacks Finetuned Language Models Are Zero-Shot Learners

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.808151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.808151Z digest=sha256:a54da2e96e8e22c05a93b6d6dbabbc6c38f12b845651763ee09ef7f888023cdc

Observation 0175743d-88fe-4eb6-9851-69008c436cdf · outbound

This paper cites Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.

PromptShield: Deployable Detection for Prompt Injection Attacks Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.811952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.811952Z digest=sha256:fc19e42552ef7dc6ba0ba1b62e10d649a98805307dc0714dc29fddce4a13edcb

Observation 5624ae63-1e2e-44db-a517-e2a5e557d6a0 · outbound

This paper cites an unresolved cited work.

PromptShield: Deployable Detection for Prompt Injection Attacks Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:38:11.290763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.816173Z digest=sha256:1cfc0f39b62ab59ebfc5d204bf93943b38824c5b4a25dd1226d178efbc5bdc9e

Observation cdda15a5-3796-4d18-9e1a-2d542bc05a47 · outbound

This paper cites Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.

PromptShield: Deployable Detection for Prompt Injection Attacks Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:10.819685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:10.819685Z digest=sha256:14c031194659b32598160f567017a73f5e56a5182119d660229a73ec63c55fb7

Observation defdacfd-8992-4a0f-83f2-a13ab9707d1d · outbound

This paper cites LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

PromptShield: Deployable Detection for Prompt Injection Attacks LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 37

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source=pdf_text observed=2026-08-10T14:38:10.823352Z digest=sha256:16d3a7c991bbfc9648f1c79bc2d749385abaf793cded580ca38cb961f2450872

Observation 596a5622-8e09-4e7a-9b5e-185a8ea05ab8 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

PromptShield: Deployable Detection for Prompt Injection Attacks Instruction-Following Evaluation for Large Language Models

Reference 38

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no resolver link, observed 2026-08-10T14:38:10.827282Z

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source=pdf_text observed=2026-08-10T14:38:10.827282Z digest=sha256:385390d576d4f0ae5b8905ffce62ddf0c7c5a4f3076317d03e2fd0cd7816be95

Observation 6738e3dd-4006-41f4-b406-2220d1abe217 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

PromptShield: Deployable Detection for Prompt Injection Attacks Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 39

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no resolver link, observed 2026-08-10T14:38:10.831214Z

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source=pdf_text observed=2026-08-10T14:38:10.831214Z digest=sha256:c9bbedc6524a62528efe64a466b2362e78a34bbdf8dcae0b3a5d565388c84366

Observation c1460b56-bd4c-464d-b07b-71b262190cb2 · outbound

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

PromptShield: Deployable Detection for Prompt Injection Attacks Training language models to follow instructions with human feedback

Reference 2022

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no resolver link, observed 2026-08-10T14:38:10.747784Z

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source=pdf_text observed=2026-08-10T14:38:10.747784Z digest=sha256:a3e9d12c6ab6f6133c935ae236ec14aebe03f9187b8cc1d8ede03c15d43eb5cf

Observation b6211f10-57d6-4d7d-a37a-1691415c0ff9 · outbound

This paper cites https://www.databricks.com/blog/2023/04/12/dolly-first-open- commercially-viable-instruction-tuned-llm.

PromptShield: Deployable Detection for Prompt Injection Attacks https://www.databricks.com/blog/2023/04/12/dolly-first-open- commercially-viable-instruction-tuned-llm

Reference 2023

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verified fuzzy
raw_fallback, observed 2026-08-10T14:38:11.377794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:10.680476Z digest=sha256:95cb801b0505afeeab51179cb7de5f990f48ac7fe7a7331e632ea8cf9d15eaee

Observation dd7110e7-c90d-42a0-9c3c-d11d2a2c5e90 · outbound

This paper cites In USENIX Security 2024.

PromptShield: Deployable Detection for Prompt Injection Attacks In USENIX Security 2024

Reference 2024

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no resolver link, observed 2026-08-10T14:38:10.727112Z

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source=pdf_text observed=2026-08-10T14:38:10.727112Z digest=sha256:eb5b347de16c2260ba314609ade4517982d900015058b4bf50375ce7c4467c5b

Observation 56b49855-31aa-49e4-bd2c-99e7ed05df51 · outbound

This paper cites StruQ: Defending Against Prompt Injection with Structured Queries.

PromptShield: Deployable Detection for Prompt Injection Attacks StruQ: Defending Against Prompt Injection with Structured Queries

Reference 2025

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no resolver link, observed 2026-08-10T14:38:10.672411Z

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source=pdf_text observed=2026-08-10T14:38:10.672411Z digest=sha256:3869e5b59b48fbd686478380e0b2a24df0722f0072959bb8825ee9808e21b0bb

Pith citing papers

Observation 6fb7aee4-2f44-4257-8920-b8e04a98c701 · inbound

PromptArmor: Simple yet Effective Prompt Injection Defenses cites this paper.

PromptArmor: Simple yet Effective Prompt Injection Defenses PromptShield: Deployable Detection for Prompt Injection Attacks

Reference 16

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no resolver link, observed 2026-08-06T15:42:00.944376Z

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source=arxiv_source observed=2026-08-06T15:42:00.944376Z digest=sha256:1a619cc800906291863b93f0b47f04c3c2db45bb52b81438253ff1b2820cb80e

Observation dda0473a-f068-48a5-b58b-73328a2d860b · inbound

Quantifying Conversation Drift in MCP via Latent Polytope cites this paper.

Quantifying Conversation Drift in MCP via Latent Polytope PromptShield: Deployable Detection for Prompt Injection Attacks

Reference 14

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verified exact
local_arxiv, observed 2026-08-05T22:51:28.507399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-05T22:51:28.105339Z digest=sha256:3eea26ae5cce0c3bcee6c8929c1ceba51a7eff90ce0aa70eb4a985d8f80090bc

Observation c5cea3cc-776f-49a5-ad13-96b85ee5c4f6 · inbound

Data Leakage Prevention in Agentic Applications via Preemptive Hardening cites this paper.

Data Leakage Prevention in Agentic Applications via Preemptive Hardening PromptShield: Deployable Detection for Prompt Injection Attacks

Reference 14

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no resolver link, observed 2026-08-01T14:11:22.404653Z

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source=pdf_text observed=2026-08-01T14:11:22.404653Z digest=sha256:6a61e513ea34b35fcd03d3bb5cc092b37ea3eab3fa719dd7e983376a01afd41b