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Paper Citation Record · LEDGER

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024

As of 18 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2412.21088.

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

pith.paper-citation-record.v1
2412.21088 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:34.908018Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

11 of 11 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29d1ebb6-b7af-4f5a-a4ea-4bcf467bae72 · outbound

This paper cites Impact of relational networks in multi-agent learning: A value-based factorization view,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Impact of relational networks in multi-agent learning: A value-based factorization view,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:35.154480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.847002Z digest=sha256:a709b59c7586bb4df547446cc0c74fa1944353034065cb34077ab87f991dc8d7

Observation 497b2dbe-8f28-45a9-b278-fba3bb8ba4aa · outbound

This paper cites Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:34.854326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:34.854326Z digest=sha256:fe0bc20911d30c58203f74a75e4258a194f3a5f7ba0255511dcb2c5daa648be6

Observation df12967b-680e-4b93-b84d-774be563cf60 · outbound

This paper cites Online discovery of auv control policies to overcome thruster failures,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Online discovery of auv control policies to overcome thruster failures,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:35.136797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.860774Z digest=sha256:3cc093645650635a285547c73f6e399b4309161a208117bd67680d0955deca85

Observation c8cd932b-5181-4a6e-b717-ce5b455e5d75 · outbound

This paper cites Multi-objective reinforcement learning for auv thruster failure recovery,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Multi-objective reinforcement learning for auv thruster failure recovery,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:35.118267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.867356Z digest=sha256:38a7a684ef98fa3ddc36a05dae5aad4a26573779ae0c3fa96a7e3976a8e6a47d

Observation 661ee6c6-e1be-468a-9b25-97791818fe65 · outbound

This paper cites Collaborative adaptation: Learning to recover from unforeseen malfunctions in multi-robot teams,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Collaborative adaptation: Learning to recover from unforeseen malfunctions in multi-robot teams,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:35.093056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.873203Z digest=sha256:a6da89e2ee92d5fd3cbbe7a9d547f25bb1331953d9cbc993da6452881b30b245

Observation e483bd4d-f89e-4543-8883-eaeb34814260 · outbound

This paper cites Influence of team interactions on multi-robot cooperation: A relational network perspective,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Influence of team interactions on multi-robot cooperation: A relational network perspective,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:35.071864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.878934Z digest=sha256:550c1c2736587b923533ca083e56cde84d8559994bdeb027e5630c7e8cfc0483

Observation dd9a256c-537b-468d-b1de-4b71e5c6fcae · outbound

This paper cites Mixed Q-Functionals: Advancing Value-Based Methods in Cooperative MARL with Continuous Action Domains.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Mixed Q-Functionals: Advancing Value-Based Methods in Cooperative MARL with Continuous Action Domains

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:21:34.955121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.886315Z digest=sha256:5b2c4541c4b3afb38b93aa704c430e341f55766ce771e4710a8fe648fb0f9431

Observation e36ea0e2-1f82-4e19-a6c6-bc08e1a35fdf · outbound

This paper cites Robot learning for persistent autonomy,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Robot learning for persistent autonomy,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:35.052179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.891825Z digest=sha256:370e82481e60b37dee6f200b751c8210054cd187b0ccfd11f707fc36f27dd070

Observation a3531230-af77-40d0-96ec-04068ed7fa3c · outbound

This paper cites Relational q-functionals: Multi-agent learning to recover from unforeseen robot malfunctions in continuous action domains,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Relational q-functionals: Multi-agent learning to recover from unforeseen robot malfunctions in continuous action domains,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:35.033654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.897219Z digest=sha256:202c72a44df12986085f5073d7ca042c5d19ec92758ca35a77548fa9b361e09f

Observation c5fea787-56b2-4929-a4a6-41ed48f1588c · outbound

This paper cites Relational weight optimization for enhancing team performance in multi-agent multi-armed bandits,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Relational weight optimization for enhancing team performance in multi-agent multi-armed bandits,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:35.015182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.902613Z digest=sha256:4a6fce47314cf52235910ad7a65ead811bda3da572f5550741558dd2d5184aa5

Observation de4b3b6e-93d1-41be-9a5c-f84bb5edf697 · outbound

This paper cites Graph attention inference of network topology in multi- agent systems,.

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024 Graph attention inference of network topology in multi- agent systems,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:34.994220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:21:34.908018Z digest=sha256:6ec00049b8ef89fdda01260c0934ce1f371a6c770b8669fdf640276cedf24611

Pith citing papers

No inbound Pith citation observations are available.