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Paper Citation Record · LEDGER

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms

As of 10 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2507.01378.

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

pith.paper-citation-record.v1
2507.01378 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:35.836074Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

  • verified exact2
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  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2275791-fb5c-4f59-b813-dede16c8567a · outbound

This paper cites UA V vision-based nonlinear formation control applied to inspection of electrical power lines,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms UA V vision-based nonlinear formation control applied to inspection of electrical power lines,

Reference 1

Resolution
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Source-reported events for the cited work

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

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Observation 4113d05c-cf60-44f6-b773-89c464c21274 · outbound

This paper cites Decentralized consensus inference- based hierarchical reinforcement learning for multi-constrained UA V pursuit-evasion game,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Decentralized consensus inference- based hierarchical reinforcement learning for multi-constrained UA V pursuit-evasion game,

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 51b9c7b3-777d-48a0-8bc0-7f6e3a7a9a51 · outbound

This paper cites Dynamic role discovery and assignment in multi-agent task decomposition,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Dynamic role discovery and assignment in multi-agent task decomposition,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation e3027393-9661-4381-b696-3624406e54a6 · outbound

This paper cites Multi-agent self-motivated learning via role representation,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Multi-agent self-motivated learning via role representation,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:30.009615Z digest=sha256:ea33f3918b4de6d1f52149e6cf91fcef694b4eef53344ceed0d2d3b94cd6246d

Observation b5778a71-625a-4e95-8f73-82bb989633f3 · outbound

This paper cites Outdoor flocking and formation flight with autonomous aerial robots,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Outdoor flocking and formation flight with autonomous aerial robots,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.592857Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:30.077615Z digest=sha256:bfab9ec378980d33674c4e87024c136daf7d8a2b168fe9e155a50b068a127077

Observation 29f27c9c-9813-4cfd-9b8f-ba2421fd3abf · outbound

This paper cites A review of consensus-based multi-agent UA V implementations,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms A review of consensus-based multi-agent UA V implementations,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.566797Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:30.186902Z digest=sha256:bcc973fe5e42a8bef29a7d87990b57375fd9de8c4e0db7cc8d02a4bdb583cbe8

Observation 4c313fda-882c-41c5-953c-5ca0f2cbef59 · outbound

This paper cites Relative distributed formation and obstacle avoidance with multi-agent reinforcement learning,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Relative distributed formation and obstacle avoidance with multi-agent reinforcement learning,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 97cdf9d6-f289-457a-a9e9-5621de4d62fa · outbound

This paper cites Rethinking modern communication from semantic coding to semantic communication,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Rethinking modern communication from semantic coding to semantic communication,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.507027Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:30.350506Z digest=sha256:6422007cbd19820789c58c0581a1eb03326fa0f367483815bfafa983fef2acac

Observation 75c74294-d848-40ef-9289-9de641af62a9 · outbound

This paper cites Self-critical alternate learning-based semantic broadcast communication,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Self-critical alternate learning-based semantic broadcast communication,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.492091Z

Source-reported events for the cited work

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

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Observation ebee9b69-a9e1-4d5c-ac21-4fda2f0b13f8 · outbound

This paper cites Value-Decomposition networks for cooperative multi-agent learning based on team reward,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Value-Decomposition networks for cooperative multi-agent learning based on team reward,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:30.534543Z digest=sha256:85baf5da2c27f144302f818ff985bc4a062370e8c3c046d5aa63f46737ce7c9a

Observation 6c01dfd8-8964-4da8-a9f6-67dcb59d239d · outbound

This paper cites TarMAC: Targeted multi-agent communication,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms TarMAC: Targeted multi-agent communication,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.459009Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:30.634616Z digest=sha256:e17c75c475f50337aa62ed5ee47c18a8c852ad6e39f1fbd9113c67d35b294312

Observation 687fba8d-b59e-476d-b60a-87443c6edcff · outbound

This paper cites Multi-agent reinforcement learning: Independent vs. cooper- ative agents,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Multi-agent reinforcement learning: Independent vs. cooper- ative agents,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.442547Z

Source-reported events for the cited work

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

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Observation 5d7bcd1a-900e-458d-b90b-7bc158a29c28 · outbound

This paper cites A review of cooperative multi- agent deep reinforcement learning,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms A review of cooperative multi- agent deep reinforcement learning,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:30.796742Z digest=sha256:ec9431f60f33db02d5953dc559d766890fa5d4babee408c44b8ad4797fb9627a

Observation 5a072a6a-9707-41dd-be4a-d3f23f56f7fe · outbound

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

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms The rise and potential of large language model based agents: A survey,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.412672Z

Source-reported events for the cited work

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

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Observation 5eec2b1c-b15c-4464-a92c-a5078fff0f06 · outbound

This paper cites Large language models for UA Vs: Current state and pathways to the future,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Large language models for UA Vs: Current state and pathways to the future,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.393504Z

Source-reported events for the cited work

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

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Observation 2713620a-3a50-4722-973d-0ec97eff81e0 · outbound

This paper cites Human-level control through deep reinforcement learning,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Human-level control through deep reinforcement learning,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 9d2cabe8-da1a-477b-beda-2dadfc24ed43 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Multi-agent actor-critic for mixed cooperative-competitive environments,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 30cab8f7-0720-4d21-b45f-f940c00981d5 · outbound

This paper cites The surprising effectiveness of PPO in cooperative multi-agent games,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms The surprising effectiveness of PPO in cooperative multi-agent games,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation e44546ff-fa99-4ddb-a8b9-a0821fa598b6 · outbound

This paper cites Distillation Strategies for Proximal Policy Optimization.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Distillation Strategies for Proximal Policy Optimization

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 2e5054c0-0271-497a-975d-1311f2eb5cb0 · outbound

This paper cites Imitation learning: A survey of learning methods,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Imitation learning: A survey of learning methods,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 7afbe378-35ed-4e13-945c-94ffd448cf59 · outbound

This paper cites QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learn- ing,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learn- ing,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation db1c8607-095f-4d90-98ee-fd6e394f50cd · outbound

This paper cites QTRAN: Learning to factorize with transformation for cooperative multi-agent reinforcement learn- ing,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms QTRAN: Learning to factorize with transformation for cooperative multi-agent reinforcement learn- ing,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.273207Z

Source-reported events for the cited work

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

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Observation b76028ca-871f-41dc-a758-a7d98ef93295 · outbound

This paper cites Cooperative multiagent attentional communication for large-scale task space,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Cooperative multiagent attentional communication for large-scale task space,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.253595Z

Source-reported events for the cited work

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

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Observation 672cec16-d4cf-4caf-bb54-5cc2583e10ec · outbound

This paper cites Learning multi-agent communi- cation with double attentional deep reinforcement learning,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Learning multi-agent communi- cation with double attentional deep reinforcement learning,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 9f300dbe-5868-4030-a439-6596f237e69a · outbound

This paper cites Semantics-empowered communication: A tutorial-cum-survey,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Semantics-empowered communication: A tutorial-cum-survey,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.185603Z

Source-reported events for the cited work

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

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Observation 18b455f3-df7e-4f1a-a056-b925914dfffa · outbound

This paper cites Separate source channel coding is still what you need: An LLM-based rethinking,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Separate source channel coding is still what you need: An LLM-based rethinking,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation e9eac202-526b-4800-9181-15a82855f3cd · outbound

This paper cites Leader-Follower formation strategy in a UA V swarm for tree plantation: Design and effectiveness,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Leader-Follower formation strategy in a UA V swarm for tree plantation: Design and effectiveness,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.125767Z

Source-reported events for the cited work

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

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Observation 1b08a37f-a600-44ba-bd72-8c0d709939ee · outbound

This paper cites Hierarchical reinforcement learning: A comprehensive survey,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Hierarchical reinforcement learning: A comprehensive survey,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.101775Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:31.878968Z digest=sha256:a2a29d515fc95f3b38e2cea558aa5e0743a5ab6405cd7f08c27a8ddf2a56f57a

Observation d4f1973e-e0ac-4600-b8b8-0cde771430ac · outbound

This paper cites Multi-UA V collaborative path planning using hierarchical reinforcement learning and simulated annealing,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Multi-UA V collaborative path planning using hierarchical reinforcement learning and simulated annealing,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.084226Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:31.954368Z digest=sha256:ef8e078582a4ce4a66663fa26f93570c396cf5eec0c2b0b3da16f0c431799a2f

Observation be638be7-9f74-4359-9551-3839b03c6ee1 · outbound

This paper cites Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:32.016584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:32.016584Z digest=sha256:733d7db573148e559b8110da41379f38f872df063df09f691c4d19299696d8e3

Observation 5248cfb4-53fd-4e6b-aa29-b69c5cceb1cd · outbound

This paper cites Roco: Dialectic multi-robot collab- oration with large language models,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Roco: Dialectic multi-robot collab- oration with large language models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.064067Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.076631Z digest=sha256:c341cecc6f08a575701fdf99045561e1575a7ed78f8cd30e4810c5300ec63dc1

Observation f76e895f-e4a0-486b-be7e-b60118841fde · outbound

This paper cites Improving factuality and reasoning in language models through multiagent debate,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Improving factuality and reasoning in language models through multiagent debate,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.043933Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.203533Z digest=sha256:daefada7d537d97b882cff86969b7fb7bffe8fdfdb9171bb5e25efc8810f65d7

Observation 17d75833-3580-4df5-a1db-d34641c124bc · outbound

This paper cites Encouraging divergent thinking in large language models through multi-agent debate,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Encouraging divergent thinking in large language models through multi-agent debate,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.017215Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.273514Z digest=sha256:d17ebb76eab879f143f191f9cf2f7a16ec498968e5016ef5eb8f7d2e1ae8c59d

Observation a54c2ebd-1505-4c0d-9b53-7b0635b56c77 · outbound

This paper cites Chateval: Towards better LLM- based evaluators through multi-agent debate,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Chateval: Towards better LLM- based evaluators through multi-agent debate,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.997696Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.352709Z digest=sha256:ba156a1283238dd065350f493bd0362397ae4820b7c2e900572fa71ec51fe235

Observation a366edf8-3f26-4a5a-ad2c-dc0468af2636 · outbound

This paper cites Metagpt: Meta programming for multi-agent collaborative framework,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Metagpt: Meta programming for multi-agent collaborative framework,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.977064Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.440146Z digest=sha256:4d79bbb0d3a65f7c64871a4c26154f99a41dcebaecb96d4732053ae2561d6abf

Observation 66ec13da-e271-4aba-9853-feb7e7371b7c · outbound

This paper cites Camel: Communicative agents for “mind.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Camel: Communicative agents for “mind

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.948994Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.553715Z digest=sha256:aece533d32446278d4463f4853a6e65b4272dbdda25050a6a34439f91bcab4a2

Observation ba7c811f-db0d-422f-a606-3e60624c82c7 · outbound

This paper cites ChatDev: Communicative agents for software development,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms ChatDev: Communicative agents for software development,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.920976Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.638559Z digest=sha256:7dad5c62886d4e5f122435833dc3ec26637449ff99ca769bdf6defec06cd0031

Observation 405ab250-c5e0-4747-bba9-0a8ae1ce27fa · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:32.718683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:32.718683Z digest=sha256:63e64e919fca448d29842e1159e24975009415fb7e0f51461d56112217db388f

Observation 5d8b9f4d-d98c-409d-9d46-98c54f6b421f · outbound

This paper cites PersLLM: A Personified Training Approach for Large Language Models.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms PersLLM: A Personified Training Approach for Large Language Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:02:36.537690Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.825281Z digest=sha256:f39eba7b4b4162f8b831534f0abf89158e746278e7a635d66c2bdf3c7180c8b6

Observation 73127223-da0a-4b62-a4fd-92da91a297b5 · outbound

This paper cites Simulating opinion dynamics with networks of LLM-based agents,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Simulating opinion dynamics with networks of LLM-based agents,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.886271Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:32.924833Z digest=sha256:be617f04416973e592c021fe37bb7a159098643516c62eb745932ab25ba9a821

Observation 4e54df13-60a6-4753-8bb2-d76e14133b19 · outbound

This paper cites Multi-Agent Consensus Seeking via Large Language Models.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Multi-Agent Consensus Seeking via Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:33.018182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:33.018182Z digest=sha256:6c99dc9ca429eabbd67ca74e166dd9d3d0328a68277c315a364a1f3607acf6f7

Observation 9ff00415-ebb9-44db-bd69-54be046b9a46 · outbound

This paper cites Determinants of LLM-assisted Decision-Making.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Determinants of LLM-assisted Decision-Making

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:33.136410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:33.136410Z digest=sha256:f3d266a2ff3683d821093b84c009ebf776313ab1d5bf75d742e0fedb7defc8e7

Observation a1f76433-9b2a-45fa-8d74-ed3c8261d4c1 · outbound

This paper cites LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:33.207487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:33.207487Z digest=sha256:7d1c935f12d761fe3c09f67f5073ed4a92648197f376f0f60133d976b8507169

Observation 57f57987-55c1-4163-8b1a-39d88c2e39a6 · outbound

This paper cites LLM-Mediated guidance of MARL systems,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms LLM-Mediated guidance of MARL systems,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:33.287638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:33.287638Z digest=sha256:9e3cf2ef096efc7fa5da7ce0bbcffd3aa95305f0ca911e746943a2ed4a2e59b9

Observation ebf66db3-c6a1-4c56-a380-5369929e4b05 · outbound

This paper cites Building cooperative embodied agents modularly with large language models,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Building cooperative embodied agents modularly with large language models,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.864486Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:33.398817Z digest=sha256:263b0a4b595813ee1ca41f6ee84f4a63eea7c8cba5dd7ddd2daf98be5cdbb8c7

Observation 404880cc-3863-4075-90be-bef3eee54b68 · outbound

This paper cites Cognitive architectures for language agents,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Cognitive architectures for language agents,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.845289Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:33.486604Z digest=sha256:2bca568656ec2add6e7b8db98640485f0bdefc356a046ae96e3e27aa002f4315

Observation 81023daf-fdd8-497d-8f84-0eb7e5df9efb · outbound

This paper cites Emergency networking using UA Vs: A reinforcement learning approach with large language model,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Emergency networking using UA Vs: A reinforcement learning approach with large language model,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.817204Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:33.609281Z digest=sha256:d748d2dc8d78bddd678c126f2b2e25d607c1e6af6fde6ef73d3a672809d1b7e7

Observation 2aff259b-4dcc-4445-bf3d-f9edba2d6b05 · outbound

This paper cites YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:02:36.139537Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:33.711958Z digest=sha256:8bbac528ef81d3e68184a56efc7b81dd82d28e9d15577728b78241424440f95e

Observation c8228e3f-da02-4188-bf51-4ab3c871857d · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Multi-agent actor-critic for mixed cooperative-competitive environments,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.790540Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:33.762388Z digest=sha256:c063c0a3fd9728fcadc903eedf7b3f5b4bbef5e715bd7e16ad2b18589e73c838

Observation 71d75863-e507-41a6-8910-fb7d0d6f0708 · outbound

This paper cites Vision-Based software- in-the-loop-simulation for unmanned aerial vehicles using gazebo and PX4 open source,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Vision-Based software- in-the-loop-simulation for unmanned aerial vehicles using gazebo and PX4 open source,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.770616Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:33.808123Z digest=sha256:2199c8a8449f16280be28ca90e276d9bb588d2adb9e053008250d77677772bdb

Observation 1edd0bde-9d22-4752-8acf-95e1a2379fee · outbound

This paper cites Large language models are superposi- tions of all characters: Attaining arbitrary role-play via self-alignment,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Large language models are superposi- tions of all characters: Attaining arbitrary role-play via self-alignment,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.751647Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:33.890828Z digest=sha256:8b00a25c71c6fbbc364dff297afeed29fb789c3714a5c1f6a74472ae2351cb93

Observation 61f7554c-06c9-43cd-a29c-d7cd94eaf43b · outbound

This paper cites Proximal Policy Optimization Algorithms.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Proximal Policy Optimization Algorithms

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:33.955792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:33.955792Z digest=sha256:031d88bd920020b39f6e38e024ac54ecca8d24e66dad4da5333c6dc45819efb9

Observation 0697ed6a-0d65-49df-a746-382836cbb7b7 · outbound

This paper cites PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.734138Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:34.066271Z digest=sha256:1b9fff8ed31ec9b3d9236b31e5404c8f300cdefc877bca2e09b5a0167c100785

Observation 579b1dca-c1c5-4fa9-b412-f4aba2abecd8 · outbound

This paper cites Language models are few- shot learners,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Language models are few- shot learners,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.712315Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:34.174635Z digest=sha256:6a7789ffd79dc03f5be6f9710e3101ba904a9bf42aa97988a98272cf4cb55bf3

Observation 6d45a00d-2e4f-4de2-8b54-40536612d60d · outbound

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

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Chain-of-thought prompting elicits reasoning in large language models,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.693486Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:34.280995Z digest=sha256:ebe1cffe51151f0395c431ac7d9ae5fd9b58cf616a98488a6cc1f1ff5249dc4b

Observation d2c7e0e2-5a0f-400f-ab6d-c2ef5eafcafb · outbound

This paper cites Language models don’t always Say what they think,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Language models don’t always Say what they think,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.676632Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:34.395825Z digest=sha256:14b940993145db293d9f57b5c07adc7e541bfb8c4404e50c903c7ee73a7a9e48

Observation bac413f5-11bd-4f32-be76-bca0b2c90e96 · outbound

This paper cites A survey on curriculum learning,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms A survey on curriculum learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.647197Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:34.475802Z digest=sha256:34988ab3379116aaf4892c55d5743f19d88c24b2fc87634c0d3cd6feb0c61cfe

Observation 5f6d63a5-ac41-4aa7-b62e-f9384abdc1c4 · outbound

This paper cites GPT-4o System Card.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms GPT-4o System Card

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:34.649028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:34.649028Z digest=sha256:fdcdf3f25c85fa30859fde4ee9806925242dfe85ff528ba30e8ad4a72c5a97d7

Observation bf379add-d021-4c9a-a648-3f0a15a1a94f · outbound

This paper cites Self-Instruct: Aligning language models with self-generated instructions,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Self-Instruct: Aligning language models with self-generated instructions,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.448095Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:34.819919Z digest=sha256:b219613f9ee744cbc67908e50edbec4bc6dfc523e304733be6980250b9954f9f

Observation 530e8581-700d-4b95-8382-85700fed3843 · outbound

This paper cites Any-Precision LLM: Low-cost de- ployment of multiple, different-sized LLMs,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Any-Precision LLM: Low-cost de- ployment of multiple, different-sized LLMs,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.263815Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:34.952044Z digest=sha256:a10f3d83984a1d59a5da481dbe0789961228c8f38e41141ce62a7f5aa98bacf5

Observation c0614572-0c53-4c63-8771-fdfbdb95eeec · outbound

This paper cites LlamaFactory: Unified effi- cient fine-tuning of 100+ language models,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms LlamaFactory: Unified effi- cient fine-tuning of 100+ language models,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.151712Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:35.108845Z digest=sha256:e5805384dc60a15b73b89a138c5ec575b4c4f1583424cebba96b97f1d9afd969

Observation a64207dd-1105-4080-a4e7-a36f71001fd1 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms LoRA: Low-rank adaptation of large language models,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:37.955212Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:35.256106Z digest=sha256:db6a5c8161470ecdefd6fcc55fd57755a3c34684338999e694258f7c917298ca

Observation 5925453f-739e-4fcf-b7d0-57855a51e75f · outbound

This paper cites Modelling, identifi- cation and control of a quadrotor UA V,.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Modelling, identifi- cation and control of a quadrotor UA V,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:37.699158Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:35.370457Z digest=sha256:06fbeb5a7537848f0cfcebbdc89b82b49f56564ebb3f5a4e9720863feea1281c

Observation 4484bcc4-61b8-4434-8ba7-8d3ad0e7cd4e · outbound

This paper cites an unresolved cited work.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:02:37.320556Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:35.523508Z digest=sha256:80cff8296059ffeacdcf0fb69e32f61d47dfcf423d27ef3aa9193233032377db

Observation e6b4eba6-fb95-4a59-b630-b4cf9c5d9c96 · outbound

This paper cites an unresolved cited work.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:02:37.031432Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:35.679117Z digest=sha256:d2124b2be9cda796af20759c6ed67bc457a2de4441209ee1e3770a699ff1c836

Observation f0a7fab3-640c-4c54-a5d8-e234437112ac · outbound

This paper cites My priority is [x], next target point is [y,z].

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms My priority is [x], next target point is [y,z]

Reference 66

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T21:02:36.725611Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:02:35.836074Z digest=sha256:82cf66f6bbb727263dba924c89611ee03fdf2e56c2adaca0860b8d78b135d560

Pith citing papers

No inbound Pith citation observations are available.