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Paper Citation Record · LEDGER

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

As of 5 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 52 inbound Pith citation observations for arXiv:2401.05459.

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

pith.paper-citation-record.v1
2401.05459 v2

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T00:57:26.303195Z

measured 152 of 152 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 52 of 52 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:46:19.453724Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 299 outbound references displayed

  • verified exact25
  • verified fuzzy56
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch10

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f01b292c-5c12-4438-a3db-692aec4b4a09 · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-17T00:57:26.988485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:fc2741f47fb5946a4cc2476db9d8de9bc1850d119adc1bd1ffb4cb53533ad1dc

Observation c350d091-3c4e-4cff-87bf-5e97d9ff4ff9 · outbound

This paper cites Google assistant for android.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Google assistant for android

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.144354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:28e48c37814643c525d063a7841635760677f1cf7a153d120f6f0f601c604f2b

Observation b89204b5-05bc-4900-9cce-f7ad9c746e09 · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-17T00:57:27.146646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:e53f0287d0eff019b1b046fdd00983dbf738c70ebfe297c7224e972ae5948e20

Observation f06f7d3b-33bd-4174-b29d-eaf001ec4c95 · outbound

This paper cites Mapping natural language instructions to mobile ui action sequences.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Mapping natural language instructions to mobile ui action sequences

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.149334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:6f81f5a10ffecca6193e793d8c8041a8679597767d2c4e9df2403d46e1db2678

Observation 91c9f5d4-031b-4ba8-9292-c42bbcdedf84 · outbound

This paper cites Glider: A reinforcement learning approach to extract ui scripts from websites.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Glider: A reinforcement learning approach to extract ui scripts from websites

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:26.425260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:5718c25e9adacd0117a3773ec56be8645f8965acaea449a803aabe93860a2e88

Observation f6d912c4-c45e-47f5-a782-d91b7893f408 · outbound

This paper cites Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:57:26.893967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:da511f911ce8f7a646b39adb7f8b45af54bfc1b6b141d45d56ff586421d7639c

Observation ed28f183-e959-4721-9c88-ed1a09f4f1ad · outbound

This paper cites A survey of large language models.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security A survey of large language models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.151973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:4349d3d6fb14cc459dee511f7b23f25414d0426dc9f6ab2927cff260ae0504b9

Observation 7077f43b-4cdc-4270-aadc-115fa8a4d969 · outbound

This paper cites Ibm shoebox.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Ibm shoebox

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.154617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:ece3c69995b0b065c920b4a3aaa9944c3bec9f1887bb26bcbbb28ae033dd8ea6

Observation dd281547-5bc4-4e63-84e4-c73a64c5079c · outbound

This paper cites The harpy speech recognition system: performance with large vocabularies.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security The harpy speech recognition system: performance with large vocabularies

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.157295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:0fd0e4f242d779567427ab52917c762392951673308cb9d166f7a73e67df56d3

Observation 5a62bbc4-075e-451e-9741-7c89c2a9424a · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-05-17T00:57:26.469376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:2668923bdf9319755460990ff09cdd278dd7e4e63576ace8589493b39262cca4

Observation 57e80c46-b091-4f6b-9412-27c6716997dc · outbound

This paper cites Rabiner and B.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Rabiner and B

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.449446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:30077c4b21dd8b59c3a0c4087096225d5a8078651a97be1fed878e34b8881666

Observation 767cc73d-0e09-4f6d-8d9b-fb6e8c6b633e · outbound

This paper cites Bamberg, Yen lu Chow, Larry Gillick, Robert Roth, and Dean G.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Bamberg, Yen lu Chow, Larry Gillick, Robert Roth, and Dean G

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.159985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:0e90683c598b37c9d51730b7208056d1954790a3281eea4deaf84076fc93f89b

Observation 6511024b-14c6-47af-9b91-23862d58b8f4 · outbound

This paper cites Speakable items.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Speakable items

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.162563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:12a3f7f0c185636739e800ea6f34a2ee30cad65f2913ba5292da2b56f414a658

Observation cc402684-c44c-4d6c-a3e9-d70437db6368 · outbound

This paper cites Medspeak: Report creation with continuous speech recognition.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Medspeak: Report creation with continuous speech recognition

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.455925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:fca5ce324455d721daf59c7e334482cfe730f0856677a1964387e0dd1bc9bbd6

Observation cab0a360-e2e0-464f-a7fc-ac261f3e6db2 · outbound

This paper cites Speech transcript - jim allchin, winhec 2002.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Speech transcript - jim allchin, winhec 2002

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.165695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:f9e8c07dd383d8360846c03d93062cc512dda5c652adbd10cf7f2403c014d2fc

Observation 803065e3-9ea2-4fdc-b91c-47889fe0361f · outbound

This paper cites Google is taking questions (spoken, via iphone).

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Google is taking questions (spoken, via iphone)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.168153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:306272a7b3c8f38f664f185b95e7332160ce67d51b869a69bff8393c6e8b88e0

Observation 869a075e-7a2f-473a-bb38-102d1ac8bd73 · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-17T00:57:27.170952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:444909fa6b7bddf209fac8ff6e61c1d20f63433fc4e40552cf3667d741b3acc6

Observation 861dfba1-8178-4c30-b751-e0447346456c · outbound

This paper cites Introduce chatgpt.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Introduce chatgpt

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.173399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:e538502038ef310761acf0777dd69883da7bf4480cb7eb9498130659f490014d

Observation 0fd50aee-9f8d-4289-8540-e3141ba29893 · outbound

This paper cites Announcing microsoft copilot, your everyday ai companion.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Announcing microsoft copilot, your everyday ai companion

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.176461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:e78522f20fed1935805c3531b946655ed4f59592efe1e4280121e2d36180c499

Observation d1a1edc9-766b-4c9a-99ed-6ee7e987594b · outbound

This paper cites Sirikit: Empower users to interact with their devices through voice, intelligent suggestions, and personalized workflows.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Sirikit: Empower users to interact with their devices through voice, intelligent suggestions, and personalized workflows

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.179030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:d8a021d107f98e104703c42acd44c9515568bd97b42dc3837e26041112c91262

Observation 9a54c756-8254-48e4-abf3-dc70391f9e22 · outbound

This paper cites Shortcuts user guide.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Shortcuts user guide

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.181725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:1342118b317fce5f506421ac9468d6d808aa72f75d60d075c849888bcbaf0354

Observation 9c6efa04-16c4-4160-977c-18c4ac53a8db · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-17T00:57:27.184170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:555cac7008d711f97dc349874c6ff358b19bd5c19accafb2be324fd63f50babd

Observation d9d0a2f7-842d-49cc-947c-f067c61008fc · outbound

This paper cites Tasker: Total automation for android.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Tasker: Total automation for android

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.186774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:626a493acef1bb8a9b175bab289e03d4ed8db21b86356e43e76c1e5d7b5f1494

Observation 7718cf4f-baa5-4f66-b71a-8021f384d90d · outbound

This paper cites Anywhere shortcuts.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Anywhere shortcuts

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:57:27.188839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:e3777073b18275758d11a4e63fee44957892c9274e192c2cde5c299b7ce93f49

Observation cf9680cc-307b-4321-b932-1b5b6c8c62c0 · outbound

This paper cites Programming iot devices by demonstration using mobile apps.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Programming iot devices by demonstration using mobile apps

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.219431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:07de57fa808599f0388e9f285cb289924d509d32e9899a8de473598645f66ee7

Observation 4713dfc2-1929-4d21-a27f-ab47ff8f3503 · outbound

This paper cites Ulink: Enabling user-defined deep linking to app content.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Ulink: Enabling user-defined deep linking to app content

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.437244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:b2dfe69d54384269e35751fbccdfefb07f8cfa46dec3d9c52f0fdb8b4ee48315

Observation 933336ca-b060-4d89-837b-8409691d123a · outbound

This paper cites what can i help you with?.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security what can i help you with?

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:26.466083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:ec3e1d02ae7f7871130bb18dacab9a658faa0583c84b8a1462594ddfaaf30baf

Observation 784af14c-e8a6-4d8f-8f77-f331bfabb75d · outbound

This paper cites Conversation.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Conversation

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:26.474908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:87b7c595a497b2893a0ed673d7e6357419754346432738908401de4de20d904f

Observation 13d5c822-bddc-4c77-a729-cad4e550e792 · outbound

This paper cites Like Having a Reall y Bad PA.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Like Having a Reall y Bad PA

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:26.497800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:734e542afd911ea76688b18d60e4e199500749e320dc82ef885ea0a4b3de8cee

Observation 8a8fcdb5-3400-4935-97d8-8e80357d7246 · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.520430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:31c6ea54418c7fa856843df0c2f27cac94fe27a4620ff2c11e947dde9979ea7b

Observation 7fb6b3b0-e0dc-4137-b5cc-59d5f0de2ead · outbound

This paper cites Humanoid: A deep learning-based approach to automated black-box android app testing.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Humanoid: A deep learning-based approach to automated black-box android app testing

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.227106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:4ad23922e49a5eb63979be782e716eaabf09b15a09f5944fe08b5d80eb2cd414

Observation eb35e75a-b337-424c-ba2f-503933285b2e · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.224596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:90c5d7968091b430117ea188a789841e2c87a0b13b3a7d7eca7596fbfd9286cb

Observation 8e790549-ebcf-437b-b818-450ed92d6f3a · outbound

This paper cites Lee, and Jindong Chen.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Lee, and Jindong Chen

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.222165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:d4338a7dbabc56aa26563e6afeae6ce1a4e011a4051b48de743a4a2625063297

Observation a79504e3-3059-4572-a721-85bb4e9531b3 · outbound

This paper cites Understanding Mobile GUI: from Pixel-Words to Screen-Sentences.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Understanding Mobile GUI: from Pixel-Words to Screen-Sentences

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.898794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:c27a377eca5ccc8dce2009ec1d1fd85bdee89c499222bcd025b6becacfa0cab4

Observation b9007275-64e4-43f2-9e0a-280c6b18fab3 · outbound

This paper cites VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.949789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:5e58495774b6825166ce29e3d063bc9f41af0895c54ffc489969afec42126d8d

Observation bd87d5e9-23db-4d1c-a7be-7d20d27cf4a5 · outbound

This paper cites Uibert: Learning generic multimodal representations for ui understanding.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Uibert: Learning generic multimodal representations for ui understanding

Reference 36

Resolution
verified exact
doi, observed 2026-05-17T00:57:26.484334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:0b6553bc4be10629b6fa7a9b1c2493fc06a9df12f310ae154c52047beb0a3cb3

Observation aad55682-aa40-4a4b-b8f9-89d599ac11a3 · outbound

This paper cites Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:26.568804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:5add1ea42ab7be4099ef02eb91e4c3522d6a70c84cbd428a4f6c468a19fbea75

Observation 13651329-796f-454b-9de5-4b8b19ad90a4 · outbound

This paper cites Lexi: Self-Supervised Learning of the UI Language.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Lexi: Self-Supervised Learning of the UI Language

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.572887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:3e34d8da6d77eb35c50e395379f8e8cf513bb698aafffb9d374fe24b9c011a70

Observation dfd08cdf-5588-4c4d-b91d-ce59557055b3 · outbound

This paper cites UINav: A Practical Approach to Train On-Device Automation Agents.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security UINav: A Practical Approach to Train On-Device Automation Agents

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.581303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:97216c57a0e9a69386471d2b22afe7892a97329260153d09d4fa4bd0ae11335e

Observation 48042c8f-cbe0-4f9f-b120-4224f98883e4 · outbound

This paper cites World of bits: An open-domain platform for web-based agents.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security World of bits: An open-domain platform for web-based agents

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.134986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:0270b6bbb7da5576b6e63817311bc856136076d11212cb4af498a38fe31bbe8a

Observation d95f3bd2-fbca-48f0-87dd-eed8bd41c28e · outbound

This paper cites Learning to Navigate the Web.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Learning to Navigate the Web

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:57:26.716072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:949e84b9e7045076a60a4b220513785abe0edeecb6b7800ae98cc830cecf8559

Observation 3074f900-7175-40c4-8468-79d4fc005304 · outbound

This paper cites DOM-Q-NET: Grounded RL on Structured Language.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security DOM-Q-NET: Grounded RL on Structured Language

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:57:26.766789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:28fd4b239daf0fe4844f2b9de2d1e66d97e4004967b36eebfaf6028fbc741713

Observation a6e6adb2-fccc-4546-9661-7c7154651c72 · outbound

This paper cites A data-driven approach for learning to control computers.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security A data-driven approach for learning to control computers

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.200032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:fbfab235f23e5f781eea88749b0e3aec3c6900dad940293468b94f1c37a1b6b3

Observation 4b9c3f7a-aa97-4ec5-a194-480e9780eab3 · outbound

This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.081594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:f58c90b1e581bbedfcd0fb860358fcf64b98bd3f40332ea4f39fbb49ed8fa8b4

Observation 2236db69-2bf5-4320-9c67-8fa93f86388b · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-17T00:58:47.057681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:0077efb5b5b75f830763113987ba2f3c1af1504828540b28c1730b98f62f2691

Observation d0fac6a9-7f1a-4407-9cdc-1cb26152309c · outbound

This paper cites Brown, Miljan Martic, Shane Legg, and Dario Amodei.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Brown, Miljan Martic, Shane Legg, and Dario Amodei

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.161064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:2afa425d40b602f8ffcef10a84dc8f8779a91295d38fb5f346f650ef85ac0a4f

Observation f71f4b12-8b62-4588-aede-10ca20288c35 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Toolformer: Language models can teach themselves to use tools

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.173332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:28695d3470c476846d9ad2e50c84e892edb1a18cd0a797a169bc2c28ed710f8f

Observation 0431eb2e-97b2-43a2-8016-fbe217472672 · outbound

This paper cites Webgpt: Browser-assisted question- answering with human feedback.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Webgpt: Browser-assisted question- answering with human feedback

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.194739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:f7909c9beda980bb79933cce35bcacaaac3c82919ab404e74c90b0e8377b3bb6

Observation 95b3dab7-9d2f-4fb5-9dac-0f8784591bc0 · outbound

This paper cites Multimodal Web Navigation with Instruction-Finetuned Foundation Models.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.889480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:90b10bd0c14f45014b64fda6d4e42e43f73806a46c067c482b591595460b8786

Observation 02888084-cc76-4787-a740-047ddb2889b3 · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Progprompt: Generating situated robot task plans using large language models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.197534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:b4778b11d4ff4fe87c1a8442e8204cdf013b63ffa7479cdcf22738c051e0a2a4

Observation db372381-8c39-4834-9542-00868cf6bc62 · outbound

This paper cites Robot task planning based on large language model representing knowledge with directed graph structures.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Robot task planning based on large language model representing knowledge with directed graph structures

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.170983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:a0351ed20e1c4c9161a791423a1d97c0a9d860c114c0522545dbd8437f7a0df0

Observation 48d504af-4526-43a8-99d2-6c4e1936d7e2 · outbound

This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Language models as zero-shot planners: Extracting actionable knowledge for embodied agents

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.054542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:c261a712749a6725b25fb3259d86955654cea8a1a02f240a6270771663a6745f

Observation f52a0bca-c2c6-4866-a52c-09be6f0a9176 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.158238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:c6b6e7d4b8985160e3b3565a093bbdfadd5a915606f4c750abd0b932045b9668

Observation ba6ef50c-7840-4cf6-8967-646b290e3316 · outbound

This paper cites MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.920433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:446e21ed338a8d28b5b269419d2a62e54dd9e5b47137f4a144c2bf737542f137

Observation d9b8b3ed-26f6-4f4f-bab2-3bf763b4472b · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Code Llama: Open Foundation Models for Code

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:57:26.933293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:8278a2fb19bcc15e84ae3c07c2ab8031e31bab1c23522ee7ff20a178d28885f5

Observation b464170f-0cd4-448f-9a89-19f8130a3277 · outbound

This paper cites Solving challenging math word problems using gpt-4 code interpreter with code-based self-verification.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Solving challenging math word problems using gpt-4 code interpreter with code-based self-verification

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:46.977842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:03d5260e9aaf9beebdf088dd9983de53bd4ca61be46cb1170745da022501cbe5

Observation 87745861-4956-4a3e-9cb0-0221944e17eb · outbound

This paper cites Gpt-4 technical report.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Gpt-4 technical report

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.108251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:6da2bafa38e74d7f1344c4bb1d73a1df00e5c4943e3eb2d4c74cc58c6092b69d

Observation 2153ea42-bc92-4479-87f3-f1b82e467a38 · outbound

This paper cites Reinventing search with a new ai-powered microsoft bing and edge, your copilot for the web.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Reinventing search with a new ai-powered microsoft bing and edge, your copilot for the web

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:46.967829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:9999dfa07c65054f0f8106c4dbf7d2fa71209d30bc93415715c4ac198366cdf7

Observation 067450fe-3f26-4d24-b0bf-7842d1ba1e16 · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-05-17T00:58:46.961863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:e4cfed7106b60017f06bc010c9f2afe3bec4275be09070d00867b95383fdc211

Observation b392ab74-9fb8-429c-bb7d-c4721d1f2444 · outbound

This paper cites Bard: A conversational ai tool by google.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Bard: A conversational ai tool by google

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.042988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:61136b33e6adec8fdceba31e2f814b8c566a16af919c651f8d2b34d229291edb

Observation c93f5a74-614b-4a12-ac83-5a853bf152fc · outbound

This paper cites Introducing gemini: our largest and most capable ai model.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Introducing gemini: our largest and most capable ai model

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.210054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:fe30e154f59cea07a16c8757e82830a4ae5a030e327d397644f69a0333a2f95e

Observation 9ae3330c-1b9e-4101-973d-0ab2c0a5382d · outbound

This paper cites Reshaping industries with ai: Huawei cloud launches pangu models 3.0 and ascend ai cloud ser- vices.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Reshaping industries with ai: Huawei cloud launches pangu models 3.0 and ascend ai cloud ser- vices

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.586095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:4182bf8e6a5cc8015390ba2c0cb10eb83332f57acb9673a2d59806ae03c01b07

Observation 3f10cfd8-828f-4b5b-a729-e1b82858ba0c · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-05-17T00:58:47.034427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:2ce064d5706d776f5df70d43049af55aecbbcb36cebe59f370d07cca0fd151dc

Observation dce0fa16-28df-4913-8d91-7433bd7d6a78 · outbound

This paper cites The linux operating system.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security The linux operating system

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.180790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:77acd7818e3aed58947f892fdd3bc5fa69f5af95226ca1316409342820aec541

Observation 46153544-b939-43d8-b38d-cb2807aa818a · outbound

This paper cites Borda count.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Borda count

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.003660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:b2a6e16e9de57ca0f655a2547b9751c9166eac149ff8a64d92373b6316ec6bbc

Observation 81c0ed02-b4fd-4b00-98e4-b873d87eb669 · outbound

This paper cites Recent advances in end-to-end automatic speech recognition.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Recent advances in end-to-end automatic speech recognition

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.142700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:ff12edc90c993cffda4a6d88f92c36e6378f4223df15efeb6f4e6febcfd8b3bf

Observation 104fb7ff-f545-4272-9f1c-7a41b076a126 · outbound

This paper cites Sainath, Ralf Schlüter, and Shinji Watanabe.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Sainath, Ralf Schlüter, and Shinji Watanabe

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.182929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:87884c6e0cb23e0ae2b3231e3f2cf0e4a0486569dddde961f0404c0ae055c619

Observation 463fcae5-e01b-4de5-896d-e8a14b68d524 · outbound

This paper cites A survey on large language model based autonomous agents.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security A survey on large language model based autonomous agents

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.140275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:132735dc256ea269faacb17476480cea2c385ff8284bc60c6549e8ff16324d4f

Observation 85b659c1-376a-4620-977c-97a7eaeb556e · outbound

This paper cites The rise and potential of large language model based agents: A survey.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security The rise and potential of large language model based agents: A survey

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.051708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:29e0ece3d569e405792c37ee35cdaeb35417e299643f8999998bd40b23a4523d

Observation fae7a057-a55d-46d7-8eae-debbcc7b9c7a · outbound

This paper cites Igniting language intelligence: The hitchhiker’s guide from chain-of- thought reasoning to language agents.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Igniting language intelligence: The hitchhiker’s guide from chain-of- thought reasoning to language agents

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.147769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:c7b78bbab7348704307639734ab83ceb95d50af6c17201f19b5e54a20f20ff6c

Observation d10e83b9-1196-4ac9-a1e6-ba57933ab125 · outbound

This paper cites Williams.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Williams

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.525351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:410fa96bd1b4a3c8ef9e25330a21e0edaecac5eaf9ce20519a9ffcbe83739ed9

Observation 4a8cdd08-01e6-4e09-9107-ed043d30d585 · outbound

This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 72

Resolution
malformed identifier
doi_truncated, observed 2026-05-17T00:57:26.528959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:36697d5d2b9d132ea204ba16d62d1337669c73c58ac82e339e701956660cf995

Observation ce0ff8ff-6ab4-48a2-bc33-a062ce057b85 · outbound

This paper cites Multi-user gesture recognition using WiFi.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Multi-user gesture recognition using WiFi

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:26.516016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:c772f564faa56ad8f57eed3cfb75c1c29c7c060e209256ebafa7a5c520b90e69

Observation da44720e-552d-4007-94e7-ca323caa2396 · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.509075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:be92e4491cdf06e8864852786b1e5c23219d25ee0374602c7f5496d8b306e6a1

Observation c815cdad-c7b2-4d79-b896-61ae82602500 · outbound

This paper cites Can current task-oriented dialogue models automate real-world scenarios in the wild?.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Can current task-oriented dialogue models automate real-world scenarios in the wild?

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.185432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:7da99d392408a9e3407e90a03a9f49750cf68eb27ce3eb3bdad79ec95ed75afd

Observation 0a57e4a4-521d-4c37-acdf-2d48b6d38f38 · outbound

This paper cites Instructtods: Large language models for end-to-end task-oriented dialogue systems.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Instructtods: Large language models for end-to-end task-oriented dialogue systems

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.145287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:c303a4ecc687dbe98c2aedca2bb601983fa2da487fa022a530e973ba34c43752

Observation 992ebfbb-1e5c-4e70-97f0-4ec9d2086769 · outbound

This paper cites Enhancing large language model induced task-oriented dialogue systems through look-forward motivated goals.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Enhancing large language model induced task-oriented dialogue systems through look-forward motivated goals

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.175889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:150354aa6361bba62ff9cffb35c973dbe9b56a7495ba7490a49d554e2a420f35

Observation fb977bd5-6147-4f34-a9eb-be345b8f82f1 · outbound

This paper cites Are llms all you need for task-oriented dialogue?.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Are llms all you need for task-oriented dialogue?

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.187689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:2030457d95fbca9796e860bf2856b62e0a18d5cdd2d0bc2417403f8abffdf709

Observation 048d13d5-69ad-4b48-a90c-9c71dfca05ca · outbound

This paper cites Unlocking the potential of user feedback: Leveraging large language model as user simulators to enhance dialogue system.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unlocking the potential of user feedback: Leveraging large language model as user simulators to enhance dialogue system

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.443771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:304b67fba8965ddd5f350834d64f29fd3745e3a93fea6b49a7e7476109a2b350

Observation fb4e4cf9-1bcb-40d5-aedf-d02ad8f2d6b3 · outbound

This paper cites an unresolved cited work.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-05-17T00:58:47.064164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:b38f9cf202964454e746a8a50f8e0c0bdd18a4b5c5ed16a4fdfd4ab3a7059361

Observation 3a9cb790-418a-414b-b317-87446d7c8434 · outbound

This paper cites Bing web search api.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Bing web search api

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.067335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:002708d2b749f0b26c198fa2221de8b1b30b3c621720def464939b50e5dc8918

Observation 40109cf3-edf9-4170-9b24-488274bebd61 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Gorilla: Large Language Model Connected with Massive APIs

Reference 82

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T00:57:26.924723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:ad20154d997983d560ca823c6b828f385f592fb1a129049f24a88f28afa3717c

Observation 66611a69-9d0c-49c9-89c7-f12284c18367 · outbound

This paper cites Gpt4tools: Teaching large language model to use tools via self-instruction.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Gpt4tools: Teaching large language model to use tools via self-instruction

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.163699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:824d91871d0214664122d77affbd197895d4a42f10d9dd7247d1fc4a4f9f0645

Observation 9b57f8a1-fbf9-4a08-8a60-c987bb33f6a5 · outbound

This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Toolllm: Facilitating large language models to master 16000+ real-world apis

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.192261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:f2f269dd8f8a9bf9183ed876a191ba1e5706e41281ea17d580c5385a107461a8

Observation 1c90265f-648b-4e6d-bacd-869ef64b2a2d · outbound

This paper cites Octopus v2: On-device language model for super agent.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Octopus v2: On-device language model for super agent

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-21T01:21:38.447572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:03fc3b7b56a8d6f3eefa9b756c1a552f23b76f2763ccf8e9b1347dcba6559fb3

Observation b148dd08-5078-41ed-9af3-423f4595a6ba · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Chain-of-thought prompting elicits reasoning in large language models

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.214751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:511e14652bfc7155457574e58e66331dc33cb5186c734cb9e1f2f6a8074494ae

Observation 15ec27f6-efb9-4fd4-ae68-d820b4e43474 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 87

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:57:26.555548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:fa0ef093d9e9f449d7f29d81148c747a0262c2e5c1bf3bad9d4fce0dfa5b125c

Observation 0cf16f96-4b92-4a0c-84dd-b8d0daad7b44 · outbound

This paper cites Mrkl systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Mrkl systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:46.964833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:acd0be6f4cd48db9f2fba85023be99db600c1529b3bb4417fbc1c5f6ce3f2003

Observation 61562a67-3e71-4386-b3b1-7fe4a68de63e · outbound

This paper cites Camel: Communicative agents for "mind" exploration of large scale language model society.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Camel: Communicative agents for "mind" exploration of large scale language model society

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.168599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:492c90dc431725d4d9dd7249a0ac2f1c244a80234d450e7bb21ed4d69aabd782

Observation 51e42b63-7a8a-4857-9932-d0b93c732eb9 · outbound

This paper cites Language models can solve computer tasks.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Language models can solve computer tasks

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.045842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:fa2026cd059cae4d97d0a17a9af738b383999f625fcf6d7a6baa807b526361bd

Observation d05bb200-030b-4e17-aed2-e90884bf91ca · outbound

This paper cites Chameleon: Plug-and-play compositional reasoning with large language models.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Chameleon: Plug-and-play compositional reasoning with large language models

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.216917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:87b026e20f41785428dec026842c0437b254fc221b5972015d51e5bbeb5c6471

Observation b42332bf-71bc-4b9f-988e-d5e0fe8b6985 · outbound

This paper cites ToolkenGPT: Augmenting frozen language models with massive tools via tool embeddings.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security ToolkenGPT: Augmenting frozen language models with massive tools via tool embeddings

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.021709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:87e59dab1fb09b51450038c9a3c52dff31e5f97166528dd62a4ae6ce0e61bb6e

Observation 2d541950-3e45-4b46-9846-19a62237e323 · outbound

This paper cites InProceedings of the 2023 CHI Conference on Human Factors in Computing Systems(Hamburg, Germany)(CHI ’23).

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security InProceedings of the 2023 CHI Conference on Human Factors in Computing Systems(Hamburg, Germany)(CHI ’23)

Reference 93

Resolution
metadata mismatch
doi, observed 2026-05-17T00:57:26.417442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:2da9bbcd3aed9fb488f7b2c3cb2e07f8e8b92c19299c97aa0453707f502362db

Observation 9dbb3392-71c9-4fb2-82e4-9c8a12cb8f87 · outbound

This paper cites DroidBot-GPT: GPT-powered UI Automation for Android.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security DroidBot-GPT: GPT-powered UI Automation for Android

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.687512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:7c6ed5373dc5df8e1cb9961f2f3f9be54bbeb20517227737c5e3addc729ea62c

Observation 9f746b2f-3bf9-4e5a-a05c-c7322b0bcb73 · outbound

This paper cites Mind2web: Towards a generalist agent for the web.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Mind2web: Towards a generalist agent for the web

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.014660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:21cc361d5e7378533babb57c414f2a452d964da262ecb7e3b779b45c082cceb0

Observation cf80c0a7-0a0d-40da-9706-93999c4ca1b9 · outbound

This paper cites AutoDroid: LLM-powered Task Automation in Android.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security AutoDroid: LLM-powered Task Automation in Android

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:26.757473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:9bd28094df338dcbc07292987c61a3dc2fcbd818900aadf798a64d0ae19cd46e

Observation 4e7275a8-e7bd-44bc-83f9-9866af51880f · outbound

This paper cites Axnav: Replaying accessibility tests from natural language.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Axnav: Replaying accessibility tests from natural language

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T00:58:47.028641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:cbfe3523f764f5fc0b06c9cf1a1783b9dc47c1edd8e930e53c713e5ada9c4515

Observation 50c519f7-90f3-416b-a610-0a1be85f7044 · outbound

This paper cites Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:3edebe11ca0d28895de6842810232982099c9cac9e4a8678b5a4b18c28933bec

Observation 336861d4-3b40-4f07-9204-f378ca6679b5 · outbound

This paper cites META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.789992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:bd1aebaa03dbbab69a133211f8781e72833218ef9006e5c17ef849431e82d0ac

Observation 1a26b717-5d73-4f66-931d-c8c04893f831 · outbound

This paper cites of the AAAI Conf.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security of the AAAI Conf

Reference 100

Resolution
metadata mismatch
doi, observed 2026-05-17T00:57:26.460417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:aeb6b822c5bf5ec23e9ce6f04d2b06c6c5a7ed78020dc5253920b6df8ed07942

Pith citing papers

Observation 7956b82e-8116-43b0-a0f2-027a489d5f57 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-24T03:58:51.399782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:314c258e38a91c0ca6ad4407bf92c9051d42807659605037eeb2aa7454aa4588

Observation ed9e24ca-d78d-497f-8b80-ce07552b14d0 · inbound

LLM Multi-Agent Systems: Challenges and Open Problems cites this paper.

LLM Multi-Agent Systems: Challenges and Open Problems Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T10:23:05.210508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T10:23:05.028790Z digest=sha256:3d6053a95d9d9d98523968313bcb57bda3ff1e9332492b8c44a2ff99dfe5a2b7

Observation a50aebad-11af-430e-b514-3d0cf806f8c6 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:ff447a0429b6032ed1d6b14e969b0fabd41f044594bb5d6ca1737b2378f140e9

Observation 06d0a76e-c356-47f4-9da0-d99574f615cd · inbound

Retrieval-Augmented Generation for Natural Language Processing: A Survey cites this paper.

Retrieval-Augmented Generation for Natural Language Processing: A Survey Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 106

Resolution
verified exact
local_arxiv, observed 2026-05-23T23:08:35.620635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T23:06:41.081461Z digest=sha256:08ff2f42e20154ea314c02e571f48579bff2f9d1d013b9d0b8566f6230a3eeca

Observation c16963ad-ed2d-459b-bced-cd069c110d6b · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:08:28.006312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:30866b3882c2132978eee203d4ca1fc5694d41808118d92e36ba54dc07a9f67e

Observation 2db6944c-38eb-44b8-aefb-30bd028ad823 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 219

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verified exact
local_arxiv, observed 2026-05-22T21:52:10.056980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:5d54d6751c0ed8632546a1f956ce55d4b4d9b57be3431943c8f2e36582a25f67

Observation b7210eaa-7ac2-4bb9-8383-f0b12b8ef3d4 · inbound

Progent: Securing AI Agents with Privilege Control cites this paper.

Progent: Securing AI Agents with Privilege Control Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 40

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verified exact
local_arxiv, observed 2026-05-22T21:12:08.478653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T21:09:51.782808Z digest=sha256:0e0bddb383d0c955d425ab09056f423f0912356bfdef6ea57f5b7229a6a64a42

Observation bd92c1c1-e5b8-4505-ae85-c03e1b402d01 · inbound

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs cites this paper.

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-17T11:05:09.649708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T11:05:09.588491Z digest=sha256:6d113f47b8238ea79a9c8d20279ddf4bde2f08d9b58cb8d53e26d7a197352d4e

Observation d9e991ef-3ed5-45e9-896e-e58856609106 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:fbfac81ee84b3987d9734988cfaee02a69bdd2434776106e64835dacb8ff8ff0

Observation 42b0aa5c-dde3-4eac-acae-deff6cb2b045 · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:06:38.011733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T14:05:54.535411Z digest=sha256:438633913bdb685db03e57738138fb416f57c192e9f4a81125814e50d7499546

Observation 14c66fbc-8e7c-47e4-bba7-071408806508 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 180

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unresolved
no resolver link, observed 2026-08-04T17:46:19.453724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:19.453724Z digest=sha256:152090cea95ff7b5db08c0e7b0a480f6cc86926505c8ef87f44bb77ad84f51f3

Observation 34cd5927-b80f-4122-802a-7e4dd7c54207 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:29:07.951709Z digest=sha256:d39871467cf2f84a2403f3ba35112bd20d29eae64679c9760bd39fe699077cd9

Observation 0572d63a-8040-4e40-b264-f1631aec6ac3 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-03T18:19:20.811852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:19:20.811852Z digest=sha256:01b182589a1351bbd4305235023153883483b6b6940262d710bdbdaa665a2d70

Observation 129aa661-ed30-4287-bfa4-278d31d317e8 · inbound

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild cites this paper.

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:38:54.001341Z digest=sha256:4e200a217f4b109004ef51de84f5b125ba0bf34971e4f26ca53fcf876b66d38c

Observation e770bd3d-976d-48de-ba3f-d29bf735bfe9 · inbound

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents cites this paper.

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T14:20:31.260397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:20:31.260397Z digest=sha256:1b2d5ebbdb6619465b1f87b7255dbc7542948caeb7fe1c84c9fb94bb197ffa6e

Observation 1f091523-937c-4ab8-95e2-7ec08b71a293 · inbound

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling cites this paper.

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:2cc5904fee514f899a0921553e1f716faa378a98d28df6b0dce2a677a81b20ec

Observation 80b14ff3-4da4-4db9-bb58-5f8280f89964 · inbound

Chain-of-Authorization: Embedding authorization into large language models cites this paper.

Chain-of-Authorization: Embedding authorization into large language models Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:12:46.808187Z digest=sha256:95205057ae29d6b9b8fe980f4aac12f1e33d22cf91798175d1eac1fe37b25aba

Observation 07743850-4b7d-4142-b47d-bd6e942eebff · inbound

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments cites this paper.

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-21T09:59:59.019057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T09:55:17.236296Z digest=sha256:3f4427555c781845f248ae74af20d7c27c3a728f62a62497f9ac07098bf218ec

Observation c031e5d6-1a7e-43d7-b491-af240c495618 · inbound

Does a Global Perspective Help Prune Sparse MoEs Elegantly? cites this paper.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T19:06:25.626026Z digest=sha256:0b236fc83fa544d357499d5be91ca1fe3d21239b87aa7c05a010b85604b99d17

Observation 0f8c5adb-7073-45a8-ab44-dabaa837ed19 · inbound

InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models cites this paper.

InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:23:40.872418Z digest=sha256:3d83e1a24bd5a987d5363c5b3c597d595ab62937fabf45298a0e429c93ab406e

Observation b9f1b809-5d42-484d-af6e-73a3e03a4d6d · inbound

PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents cites this paper.

PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T16:57:39.182153Z digest=sha256:8c82b1c438db41fd86eb1ff4b9a45c94967aeec649f8b5f11645af8647f142aa

Observation e4e47532-5b17-4255-8059-628f5e7394ec · inbound

Agentic Insight Generation in VSM Simulations cites this paper.

Agentic Insight Generation in VSM Simulations Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:17:39.853496Z digest=sha256:fae3f349b14bd3bdae754f733da17dce3071507f1921ba86cddbcdf7f01519b0

Observation 44e271c7-9b40-4dee-9bb9-f61d2973896c · inbound

Don't Let AI Agents YOLO Your Files: Shifting Information and Control to Filesystems for Agent Safety and Autonomy cites this paper.

Don't Let AI Agents YOLO Your Files: Shifting Information and Control to Filesystems for Agent Safety and Autonomy Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T12:25:50.595161Z digest=sha256:7fa199a5ded3ee8884ad05ecda11d7c2fdd9c045eefdd82849d4f604e1f12a9b

Observation faf2c61a-2346-424e-bd17-8ae4ef11d1b2 · inbound

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots cites this paper.

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T04:42:21.843629Z digest=sha256:980113ea24d936cb2069f37d999e061fb220b63d21c585e43afe5e52a58b3fd0

Observation 8248868e-5860-4c8e-a559-a8e7bb6835f1 · inbound

TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs cites this paper.

TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T02:04:57.744754Z digest=sha256:a51a446e67daba5a981b0b0b40ad9eb200c229540947887d9621315f69d9c750

Observation 881b7a12-69ef-49b6-b6da-7e31b95993e7 · inbound

Persona-Grounded Safety Evaluation of AI Companions in Multi-Turn Conversations cites this paper.

Persona-Grounded Safety Evaluation of AI Companions in Multi-Turn Conversations Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T20:07:06.058477Z digest=sha256:71c567280f5ac6f02aea5adfabb95f0d2dc911e566903b5e56fc4057ace089f1

Observation 618caa3c-d009-4415-956d-18fb1ce32fc8 · inbound

Agentic AI for Trip Planning Optimization Application cites this paper.

Agentic AI for Trip Planning Optimization Application Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T19:45:44.908058Z digest=sha256:8483140aa4ed954661fd8807e10453fb3348ca8e51049e8a8c69d5a729477ace

Observation 5375d601-ed1c-4eb6-9b08-cee7deeafa88 · inbound

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory cites this paper.

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-09T19:10:30.849963Z digest=sha256:18ca45dc65309afdce555b13d7999f73ea35a6c0003e52f46ff27fb13f8c17fd

Observation 8fb21906-97ef-41d2-83cb-67ee99560be3 · inbound

Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis cites this paper.

Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T07:17:12.319428Z digest=sha256:7043866e222da4827060f2d28527574c69b5e67e639d868bef293845a8c3e735

Observation 058680f0-b9bb-4470-b274-feb2b7782522 · inbound

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations cites this paper.

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:54:22.009219Z digest=sha256:dd44ccb81817eeea54389d6a1db066fc592b588bdacde092e718eac08b63a605

Observation 8cb35123-a469-48b8-a25e-64987983a785 · inbound

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations cites this paper.

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-20T21:33:46.348233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T21:31:45.854294Z digest=sha256:69831759b8db46114dbedb90159849bbda00d7439a9c27b01ea12494a625c78d

Observation e47fd032-4539-4d2b-b9bd-ea148030a622 · inbound

From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG cites this paper.

From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:58:14.793953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:9ea5813d31a3f6bd0425e57c638569d7dd0efe61eb150e444a62e18880647462

Observation 9be56c16-40b2-4ead-960c-ced688a67f2a · inbound

From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG cites this paper.

From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-06-30T18:44:59.504179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:a7bc5782c9ee5cf571c1651c0b5e879db45ec29221ed7ec2e6753bcc82586aa6

Observation cb166068-8075-4ce6-b3c3-5dcfd7219d15 · inbound

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs cites this paper.

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-21T08:09:51.876024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T08:05:44.358256Z digest=sha256:c87c17a8b88439508a54ee58b2450d210e510ecf0f979cde0bcde659cde9a730

Observation e178646a-bce6-48c1-a2ad-3277b71bce80 · inbound

MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models cites this paper.

MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:04:00.830728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T23:03:18.154426Z digest=sha256:b608d864b1329a8b31d0008d45df5cfa9c98814a8d642389158cf08f503c7655

Observation 9374eacd-3bf7-4f7b-960b-f689f938a0ab · inbound

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters cites this paper.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:16:16.692823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T15:32:19.456119Z digest=sha256:4ea94159f6feefc31484a2bb5b32c2aa5b475e1fc5af572ea3cc86f09c2742c1

Observation 4bef2e6f-4df1-45eb-a7a0-fddd06ce9b0f · inbound

When Should Memory Stay Silent: Measuring Memory-Use Boundaries in Memory-Augmented Conversational Agents cites this paper.

When Should Memory Stay Silent: Measuring Memory-Use Boundaries in Memory-Augmented Conversational Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T12:36:57.197449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T01:57:52.221071Z digest=sha256:f48184b6ae6f1076a69e3c144c45ae20bb0b99bfddf73b669b156856b6670cd5

Observation d77064dd-2771-48c7-a3de-e7b06b742801 · inbound

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 101

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T13:20:56.698277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T12:55:22.831264Z digest=sha256:fbe89b2e9ab6dd9ba35968cc53c30f772f10124c4c49de49cc8b4832aad12ea2

Observation 7f27c28f-7205-4271-b06e-499f515160af · inbound

EnerInfer: Energy-Aware On-Device LLM Inference cites this paper.

EnerInfer: Energy-Aware On-Device LLM Inference Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-04T11:29:50.702429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T07:58:29.150228Z digest=sha256:e2de1dfe85f440feeb5826ac8e2930991c864b74874f29a690de069f72105d91

Observation c84ca2fe-5aaa-4141-b371-d6ca06dde816 · inbound

The Interplay of Harness Design and Post-Training in LLM Agents cites this paper.

The Interplay of Harness Design and Post-Training in LLM Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T20:00:07.757130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-25T20:57:20.179394Z digest=sha256:b2b310d16d76d7f20ab54eca88879f7a55ad79b188ea9251d1df860e3e1736ff

Observation 4e444f09-95a9-425b-a7b4-430a9bdbbf47 · inbound

When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents cites this paper.

When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T09:17:47.953153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T09:14:13.259838Z digest=sha256:51047f4d26f859c0e3a49f780f692b9425b137df0804dde89d7a484a02c37c8c

Observation b2674704-ae7b-418a-921e-903c66ebcdf2 · inbound

FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents cites this paper.

FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T14:39:55.782891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T14:39:55.782891Z digest=sha256:88e849c2e78d19685af10f2ddfe5bafa5736a5ba2dea7db49c127ffe59b373a9

Observation bc23c482-9d42-439e-9aa6-ab136c8ce49b · inbound

FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents cites this paper.

FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 79

Resolution
unresolved
no resolver link, observed 2026-07-11T14:39:55.782891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T14:39:55.782891Z digest=sha256:735c47bd04d00957c4064c004ce86c443a36947e5656b64ffa0f5a6b740625cc

Observation 893f7a46-ac5c-454b-aabc-f217db2fc4f7 · inbound

PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routing cites this paper.

PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routing Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T04:44:31.914813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:44:31.914813Z digest=sha256:33e4930e55ecb79712ed53cc1e902a7baea4bd7e681b72811973e37de2f35031

Observation cb69f623-6b3f-4a2a-a9e9-956ce8900124 · inbound

Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion cites this paper.

Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 132

Resolution
unresolved
no resolver link, observed 2026-08-02T02:24:45.813844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:24:45.813844Z digest=sha256:b15432caf2887ed9bb41345040730fd8e531b874525a021b5daad1b135e32ac7

Observation 782ee592-9f37-4862-9691-9917e79dc242 · inbound

SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data cites this paper.

SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T11:16:11.566766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:16:11.566766Z digest=sha256:b65031810c13fd4615501800d2f47bbd3db5a74b111f2498a7d9f2f94ec0abc2

Observation 8832f8da-a903-4fa7-a36e-7e876239de19 · inbound

Gleam: Adaptive Network-Efficient CUDA API Remoting for Cross-Device GPU Sharing over LANs cites this paper.

Gleam: Adaptive Network-Efficient CUDA API Remoting for Cross-Device GPU Sharing over LANs Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T03:40:11.195265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:40:11.195265Z digest=sha256:7a9d7576d0313173b52b4bb052ab3fd2e19f72086915779da283d0b1de185dba

Observation 9cc7ce4b-ce16-45de-a9a9-a7a80feab129 · inbound

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents cites this paper.

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-30T22:03:09.897534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:03:09.897534Z digest=sha256:752743c709f2d18ce7ac0e04dd30d79b2f9677dba0c7eb5b3e4901dbb2a4ed06

Observation 6fa4f9bb-57a3-4eae-8f77-8758f82df654 · inbound

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning cites this paper.

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T02:44:30.630565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:44:30.630565Z digest=sha256:f74722e2c5dba4e81e71c54465ee33781a211862a2466ab63d2671b1cb18c4d7

Observation 8c58f8fc-4114-4525-8c02-0ece76da2bb1 · inbound

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data cites this paper.

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 1938

Resolution
unresolved
no resolver link, observed 2026-07-30T12:32:19.052995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:32:19.052995Z digest=sha256:869f9269297d297828e65442f827df98ee79df78aaec87920a14df2ff630f8d1

Observation 0a639140-3250-4712-86fd-148c27685d97 · inbound

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data cites this paper.

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T03:22:55.100459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T03:22:55.100459Z digest=sha256:af413634fb348707a832e649a57ed6431f6c6b63fd96b462915ea637f0da7a2b

Observation f5363553-ba56-4cc0-9df1-419f401c7f56 · inbound

Beyond Retrieval: Analytic Memory for Multimodal Agents cites this paper.

Beyond Retrieval: Analytic Memory for Multimodal Agents Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T07:06:05.674838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T07:06:05.674838Z digest=sha256:3118dc91e1493fbc200946566402b595c26b85079c84049851480862e8489c2f