Pith. sign in

Paper Citation Record · LEDGER

Multi-Task Reinforcement Learning for Quadrotors

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.12442.

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

pith.paper-citation-record.v1
2412.12442 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:08:17.224663Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da1d26ef-ce0f-411f-9210-34562dea3f16 · outbound

This paper cites Reaching the limit in autonomous racing: Optimal control versus reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Reaching the limit in autonomous racing: Optimal control versus reinforcement learning,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.720083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.105056Z digest=sha256:619196db2703914907bb69c262ebb63a91fec9a40f022dd572dfbb86177d08d6

Observation 7d95fde1-3ea1-4e14-bf44-7f2610be5ff2 · outbound

This paper cites Autonomous power line inspection with drones via perception-aware mpc,.

Multi-Task Reinforcement Learning for Quadrotors Autonomous power line inspection with drones via perception-aware mpc,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:08:17.110535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:08:17.110535Z digest=sha256:05cb1554216598ec3f587c947a990a74866c8ffb4fb1224c9a6f74d29a87370e

Observation 95ca8aa6-ed5e-4661-a06b-abf04bcd0376 · outbound

This paper cites Con- trastive learning for enhancing robust scene transfer in vision-based agile flight,.

Multi-Task Reinforcement Learning for Quadrotors Con- trastive learning for enhancing robust scene transfer in vision-based agile flight,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.696422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.115594Z digest=sha256:51a570452c27d3a72fc04fa89145b5596406e653d4c841272e429cb9a2f34be6

Observation 79a78d5b-ae5f-4491-8d26-fc054bdceaff · outbound

This paper cites A benchmark comparison of learned control policies for agile quadrotor flight,.

Multi-Task Reinforcement Learning for Quadrotors A benchmark comparison of learned control policies for agile quadrotor flight,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.681302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.120610Z digest=sha256:bcb5bef96ea189ff8bcdb0e531344a50bd4929f5df62f9923eb15ecff14bcd97

Observation 1826d620-dbd9-4c7a-a4e2-bd7baf63752f · outbound

This paper cites Champion-level drone racing using deep reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Champion-level drone racing using deep reinforcement learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.667134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.126025Z digest=sha256:9a8e9afb562de1f495a544de73abf11a0bf86fddb8b53b1fea4c18ee7b94d17f

Observation c2c915e0-5399-461e-a367-42b78ab1241b · outbound

This paper cites Environ- ment as policy: Learning to race in unseen tracks,.

Multi-Task Reinforcement Learning for Quadrotors Environ- ment as policy: Learning to race in unseen tracks,

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-11T14:08:17.402781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.131350Z digest=sha256:37ac00860b609d17045ee806492649b5a0170e26ad4fca57d5de8bdd61156231

Observation 3a214b17-9a85-4c52-9d40-5e63ccc19223 · outbound

This paper cites Conflict-averse gradi- ent descent for multi-task learning,.

Multi-Task Reinforcement Learning for Quadrotors Conflict-averse gradi- ent descent for multi-task learning,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.653126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.137369Z digest=sha256:7f2bda2fab17bfbd17877aa7b3756468c79af4719c45af6c8743a492177103b0

Observation f6b16343-1184-43c1-9e2d-8a3597d3c1a2 · outbound

This paper cites Scaling up multi-task robotic reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Scaling up multi-task robotic reinforcement learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.639985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.141755Z digest=sha256:e0eb500982c5fbc5b375daeef54ec2fb00a2ae8b5b726889f82209c30a94370f

Observation d5cd9d19-a730-4cbb-aa13-aad6f4882f76 · outbound

This paper cites Reset-free reinforcement learning via multi-task learning: Learning dexterous manipulation behaviors without human intervention,.

Multi-Task Reinforcement Learning for Quadrotors Reset-free reinforcement learning via multi-task learning: Learning dexterous manipulation behaviors without human intervention,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.626688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.146387Z digest=sha256:21325c03dac4282e64ed02ea51425b04c9e44a177ca12a8d0729ebcef4ad9d73

Observation b74d0ff1-21c1-45c9-97d7-72c8cc0b6857 · outbound

This paper cites Sharing knowledge in multi-task deep reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Sharing knowledge in multi-task deep reinforcement learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.614694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.150422Z digest=sha256:bd6b8fb092c680f398055fd7fb70bf52f4aee3cabbfcec9ea2fc98788d73e70a

Observation 08abbfcf-e2ea-4d1b-a180-f67797cd9d49 · outbound

This paper cites LIMT: Language-Informed Multi-Task Visual World Models.

Multi-Task Reinforcement Learning for Quadrotors LIMT: Language-Informed Multi-Task Visual World Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:08:17.277053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.155016Z digest=sha256:50a52270213ce0074f9202516aeba385d5db24d58b077326cef416086b476416

Observation 267b9dfc-8deb-4532-876a-0ce8e4838abb · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.602055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.159813Z digest=sha256:99539ab95acb13bdda8a7b06c530c1085314699810983048b6ff703b942e5813

Observation 215279d5-1012-49a8-b61b-645728c67d63 · outbound

This paper cites Control of a quadrotor with reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Control of a quadrotor with reinforcement learning,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:08:17.163856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:08:17.163856Z digest=sha256:3609c72a2d689a8560ffa02b4f6970ca13fc3339d647157567fbe232403c37f9

Observation 2a34fb8a-55d7-4493-8d46-3adab8b1c217 · outbound

This paper cites Low-level control of a quadrotor with deep model-based reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Low-level control of a quadrotor with deep model-based reinforcement learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.581819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.167718Z digest=sha256:2e5571da4b8fac9aea919fa1a3515ad758003443b8e5e53600454cd82d1c7a05

Observation 1dd652ce-093f-4db0-b294-eaf1dc47f855 · outbound

This paper cites Learning speed adaptation for flight in clutter,.

Multi-Task Reinforcement Learning for Quadrotors Learning speed adaptation for flight in clutter,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.569163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.172327Z digest=sha256:8af33dcdd4d3904ffedf3f7d2bc03055aedc014883b50ead55baba40062659f9

Observation c50ead76-b070-4631-8b48-99fdbabfeb86 · outbound

This paper cites Collision avoidance and navigation for a quadrotor swarm using end-to-end deep reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Collision avoidance and navigation for a quadrotor swarm using end-to-end deep reinforcement learning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.557366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.176215Z digest=sha256:02541479a0c174c3342fb25fae4922d8a546c798e1b0505bc630006b037feac7

Observation 4a3e9511-b59e-4433-bc7a-44ae1daf8d11 · outbound

This paper cites Learning to fly in seconds,.

Multi-Task Reinforcement Learning for Quadrotors Learning to fly in seconds,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.544732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.180266Z digest=sha256:a5681c4721fc6054706d70276ece1b9d5a90fe61664acb7a1ee173a3df10287f

Observation 7434380a-d6a7-4745-8a31-12e73a45a46c · outbound

This paper cites CAD2RL: Real single-image flight without a single real image,.

Multi-Task Reinforcement Learning for Quadrotors CAD2RL: Real single-image flight without a single real image,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.530978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.184022Z digest=sha256:0b574096091722c1ba8d7a047e5fd54304b1ffbe14f6f7541668b020a4a8ae13

Observation 15ae5ce9-16b8-40f4-a5c6-fad36591b0b8 · outbound

This paper cites Bootstrapping reinforcement learning with imitation for vision-based agile flight,.

Multi-Task Reinforcement Learning for Quadrotors Bootstrapping reinforcement learning with imitation for vision-based agile flight,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.517845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.187628Z digest=sha256:166f0f49d9d49ad27400b4a1c36fcc45be02445e067dd4f06f98c2f6aa6d9187

Observation 754037de-99ff-43ce-88d3-8e056c7b896b · outbound

This paper cites Demonstrating agile flight from pixels without state estimation,.

Multi-Task Reinforcement Learning for Quadrotors Demonstrating agile flight from pixels without state estimation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.503393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.191143Z digest=sha256:e8367684f7a47848c35682faf5dcce3b7767c657a6057682823be8111ed111fa

Observation 45e7bbbf-7178-4f53-9fd6-9fc2109bcdc2 · outbound

This paper cites Multi-task reinforcement learning with soft modularization,.

Multi-Task Reinforcement Learning for Quadrotors Multi-task reinforcement learning with soft modularization,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T14:08:17.194560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:08:17.194560Z digest=sha256:feee373768508b4a8171d9399841ace1efe673799b21a1f67ec87de7c7252bee

Observation 5b81d32c-b932-4939-90ab-5d05a5ddae20 · outbound

This paper cites Lifelong robotic reinforcement learning by retain- ing experiences,.

Multi-Task Reinforcement Learning for Quadrotors Lifelong robotic reinforcement learning by retain- ing experiences,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.483392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.199083Z digest=sha256:ecf4867dc99e98ea1968652586c4bee3275aafabd64b7d704de75de4f67f8e47

Observation 04eb5173-4c69-434b-afbb-9fda6cefe514 · outbound

This paper cites Autonomous drone racing with deep reinforcement learning,.

Multi-Task Reinforcement Learning for Quadrotors Autonomous drone racing with deep reinforcement learning,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.469757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.203237Z digest=sha256:99cd9d80b2ceb16d0d15d9a9e7f2626a4d9a9e734ea9c18defd84277ee68889a

Observation 5e3ce7e2-4293-4d86-ba50-fe913bb9f035 · outbound

This paper cites On the continuity of rotation representations in neural networks,.

Multi-Task Reinforcement Learning for Quadrotors On the continuity of rotation representations in neural networks,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.455995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.207843Z digest=sha256:222250e6fd0eef6a36ef0b1b1083eb3c0e03a29b8a54310371322c583039fb75

Observation edfb77bd-b935-4974-906f-0b7e11c672af · outbound

This paper cites What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study.

Multi-Task Reinforcement Learning for Quadrotors What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T14:08:17.212111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:08:17.212111Z digest=sha256:46244bf47565d74bae791b061f85c2df07dc26a3fb9e61d5cf87cbad7aa70767

Observation 839f3f52-e108-4b19-bdba-5f9e28d66e3a · outbound

This paper cites Proximal policy optimization algorithms,.

Multi-Task Reinforcement Learning for Quadrotors Proximal policy optimization algorithms,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.444199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.216937Z digest=sha256:655344d5021114777bbffdcf2034e2d1d3646b4b2fea395138ec184dcab2aeb7

Observation b5a873ce-9ba4-4d9a-8b55-b8481996b305 · outbound

This paper cites Flightmare: A flexible quadrotor simulator,.

Multi-Task Reinforcement Learning for Quadrotors Flightmare: A flexible quadrotor simulator,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.432664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.220816Z digest=sha256:81519ae5d48348e3b5c50f6dd3242650e2a5bfbe3de196ea7157953aa86e8b38

Observation 0b77b8ef-0309-40dd-940e-dd65b19d6189 · outbound

This paper cites Agilicious: Open-source and open-hardware agile quadrotor for vision- based flight,.

Multi-Task Reinforcement Learning for Quadrotors Agilicious: Open-source and open-hardware agile quadrotor for vision- based flight,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:08:17.418667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.224663Z digest=sha256:0125d879276c3bb71ace33594574afcbe1838249da9a6ad953aae3b8b6923371

Pith citing papers

No inbound Pith citation observations are available.