Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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
  • verified fuzzy52
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

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
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:39.669203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:29.765748Z digest=sha256:10a417bb7bc556769589777e3db83b68eb6f63ab55cd2c2371afac606046ddf6

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
raw_fallback, observed 2026-08-06T21:02:39.647479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:29.876530Z digest=sha256:6e3bc16afe9b8df98ffbb1dc74fa67a4c646955306876168eb64a00a265a17c9

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
raw_fallback, observed 2026-08-06T21:02:39.627820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:29.939297Z digest=sha256:ae78921afd4d04e90596c7016e6a2803354cc111c0ba86d7515f1a6e0d8f20ff

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
raw_fallback, observed 2026-08-06T21:02:39.611150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.009615Z digest=sha256:da440b7317db0528a2fcd7677e939c0ce2f6055c7adc2f30ef4226fa50413537

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.077615Z digest=sha256:53840e2301ef8cd249db75d2af56ee894c26a2a9e0d88e9f53e05e55a6009ba1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.186902Z digest=sha256:e0d2c97e8fd14ceb009b0ca41b9189dcff31ee11b4c8b83138e5c6818430ea31

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
raw_fallback, observed 2026-08-06T21:02:39.531029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.284474Z digest=sha256:29d48fd97896c612f1c38c0bdff279471dcf3bdbe0a6cce0db211bcca77ad3ff

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.350506Z digest=sha256:765e865c0742c26263dd29f622e15e85e377d11b4b16e7b96744f40fc069eef8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.427593Z digest=sha256:83503068a5899a9dee5e4739fe64b6cfb2a6e7a7bc50a138ab159283fc7d3840

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
raw_fallback, observed 2026-08-06T21:02:39.474695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.534543Z digest=sha256:915d8b75f8aa0293fbaba1ab60aac076ac13b44146cd9752c48c426d0984bd42

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.634616Z digest=sha256:9525993dc9e8e63ff4bac89de72a8bff3864c2b0fe26c2633bc28f2b22ab27e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.715316Z digest=sha256:8079750789bea3ec7188c9bc46708438a277e965e4d85a1e5319adac9119e1c4

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
raw_fallback, observed 2026-08-06T21:02:39.427454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.796742Z digest=sha256:3ac90cac7d3d4d581be94c04fc96adb22fedf7d7004b9d4880a8dc668fee858b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.878812Z digest=sha256:4d243f8553949aa5892761ac2cc48f20a7acf413378acb6031905dc1b4763720

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:30.947914Z digest=sha256:9d9577126db90314f8146c827cc80e97cc581da5993629b6986c431a8fb9be7c

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
raw_fallback, observed 2026-08-06T21:02:39.374370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.017405Z digest=sha256:97c0fdc680f2bd3736ec7002443425b6346339cffcbc36b967101695511cd442

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
raw_fallback, observed 2026-08-06T21:02:39.355264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.087312Z digest=sha256:0ad2b61ac41fa54b566fb98f33b5d8fb64502a0113919e2c8f8880fba744a75b

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
raw_fallback, observed 2026-08-06T21:02:39.335375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.154775Z digest=sha256:88e15fa2679f3e7c229596267bd009f395bc70b5cf7b3f300496df58c31c0bc5

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
unresolved
no resolver link, observed 2026-08-06T21:02:31.231735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:31.231735Z digest=sha256:dd1f1d885157fd8906f0bc57a0a79562cbfbed0536be1cdd148bd864f21b2432

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
raw_fallback, observed 2026-08-06T21:02:39.311199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.317371Z digest=sha256:912dbe6cfde158f9790551037729b7108a3832fa476fea5bbad72428e3fbf2e8

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
raw_fallback, observed 2026-08-06T21:02:39.293620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.411596Z digest=sha256:f51453633bebcc33425caeaad579c31468badeae24fac926ad8927dcb56dec21

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.478643Z digest=sha256:2d6a01c4e30ce6fcc3f2707b074c818d04c9a31cc6a1e9cbdcd8793e3a3da82e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.558766Z digest=sha256:63b576ac30c3f6ebba1a6174e9aa3ada47760a4aebd42cbb874af934e7c089eb

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
raw_fallback, observed 2026-08-06T21:02:39.225837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.609249Z digest=sha256:3a00c02d4970416484403cd76cb6327c5dc0f662279efa35efb524e88cdb6659

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.693134Z digest=sha256:f4753702022bbff77e3f10df1a4935640812203ea11367f71ac574bfc0f0b4be

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
raw_fallback, observed 2026-08-06T21:02:39.151278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.754947Z digest=sha256:b5f76ded51ee68e181065563afc977666b917547eb40acacfed61e25bbe8b10c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.831041Z digest=sha256:e50663a90888ea89944843ff6f8dec328fc802103332a6315fe2143f4b9fc472

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.878968Z digest=sha256:9d6feccb5e8efc1dcf24416bf54a6bed36b8057387da283d08a2a63de2486c86

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.954368Z digest=sha256:a114deb31bea0ddfcff502cf8b2a02d2a601757c1ec9fd2dd016f40320172258

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:b4fa843e6b3b5657cb3e7fd8c46fc0d77d095784582dbd46fbf6aeb13fb16989

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.076631Z digest=sha256:8c44ad3ab8453a21022306f57fd480bf255487a33e83e2e542181cd989efff50

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.203533Z digest=sha256:6bd6d64edc43338fae6d424089ac249788e65926b71d61e9d183d47e3661d4ac

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.273514Z digest=sha256:8bc0e20fdf86c800e9a62b251219f0b413d5a0c26a525c9191110addc05bfa79

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.352709Z digest=sha256:88bf73af016cbee9a3b2c28cd2a748c723de77add4f392fff780997aa8d9b454

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.440146Z digest=sha256:02124417555c0c91a382b243c92e368ca172c57b4d1a4137a64b5dcaaf0415a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.553715Z digest=sha256:a6ec20c1f42c8ae37dcde1ab12e170d99fcfb3f2d8ebc9263878c859d606fc14

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.638559Z digest=sha256:4431f0db2794cd3a65ca4b1a99fafd9058207af92c6735b57c5192528ee733ba

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:ca2b58cb52c7a6684cd9f65848239997a9d8c994f29dc77aa974c1159ba2007b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.825281Z digest=sha256:25b93841c83caf4e366ec6e79a3c555343bc56510ec529027b2441136edaa8eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.924833Z digest=sha256:070d1cb05bcc1d29319a8e3cbcbf89afce91e72a77b86d270acb89d9043018f2

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=sha256:8a8402828990a17ac4d9ea696701039e7d185d8571deda148421a6cf78d9bb6c

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=sha256:68dc106560b85a763c226cb3c2e81519b944c23dbe8f568255280ff40d8d1eb0

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=sha256:278361a310d8d406d1d86accc34c63eddcbcc954bac0819ce59894f86cbfefa5

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=sha256:0c1e96e428fc9467de82b7ca5ae185f1fa5053dc98078becbb4880217e74a2c4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.398817Z digest=sha256:983dd9781dedef7ed7ef8ac16a98e2072f94790e0e86bbc2b4393f6c804adc7f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.486604Z digest=sha256:b8363365087ee3e3e8f54f7432d5b03431b6dc99dedd3e9515c9383a113e5535

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.609281Z digest=sha256:6b448f3f48368b8fe44c1412772996be49dbd34170feb3a20be4f2aec5c67b51

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.711958Z digest=sha256:4e58ffd132df58d5eb9cd31eec0be0bea7edf073ceaead014790788076a4b736

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.762388Z digest=sha256:e53396794fb376a19512e456e283c5c27f9e827f8f3fc02c9221389852cf65f0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.808123Z digest=sha256:4405450fa947495de20dc5879210b22aaad915b6c33dc4c48ca11e9b35727cab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.890828Z digest=sha256:2fd39fea615ddd68c0187af34e37b08365b8cc5ce1984e1fa96bd920ac9f2b70

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:a72b56b4f55ad7111a61e048fbe1630867df540b7fe17f33e986e23f5b0f1299

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:34.066271Z digest=sha256:df5e88721c8e780cce8426b77667be0231a9be503f965744950a78112a16e593

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:34.174635Z digest=sha256:0e16f90fdbd26f13f0539571d79df1051519a85b4a194c06dc0a1400eba7e15f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:34.280995Z digest=sha256:55c7f5684e1ea4d6665b4242b1825305cf22a969743e97dfcfc4cf825c264805

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:34.395825Z digest=sha256:cc990cabc0b44ac0866cfd1503f9a1ad51e6fe0dc6ab41129945330a82725c8a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:34.475802Z digest=sha256:6f87277158226f0268060041c84a9c4faa62078f8ad4a3908597618389314075

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:c31663843ab7ad53476d80e8293477edcaa42e45ab52d2464c97283911b6ac02

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:34.819919Z digest=sha256:5c3505aadd236be76f797c946199aca63fca75c31589f4fe7f3552cd38f0f45b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:34.952044Z digest=sha256:b5f6e265c3749fb26cc9ff42a35be91eed27e89b13e890ba52e03f28999ce0d6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:35.108845Z digest=sha256:d3fbe31323c8fd9252f14f793807d3bb59bc8e4e6c5c496993362f32097d586b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:35.256106Z digest=sha256:5a46d4cdb060f161cdab9146402f54224bc5c8979bbec0de7740679ec51c1c64

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:35.370457Z digest=sha256:fe2615a37f76965bd52535be0abee7f41f73c9f67ff1b2c4c552fb7545c2f5de

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:35.523508Z digest=sha256:cd99addfe1d12ffdaa3a673fecae3cb70b0acb3b9b1fbb88c0dc38ff6e002dc5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:35.679117Z digest=sha256:13104e5748a05767afd4f309dabb2d14bd0827c8e8c49f0693827b6e72e076b7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:35.836074Z digest=sha256:24e21ed48458c1b830aac2733b5f73bc2c9e775a33c2c04209f1fc9c22fdb156

Pith citing papers

No inbound Pith citation observations are available.