Paper Citation Record · LEDGER

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning

As of 18 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.11658.

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

pith.paper-citation-record.v1
2608.11658 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:37:57.074774Z

measured 19 of 19 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

19 of 19 outbound references displayed

verified exact1
verified fuzzy10
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 696f384b-91d8-4d7b-b48f-632c9c22105c · outbound

This paper cites Advances in neural information processing systems , volume=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Advances in neural information processing systems , volume=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:56.988779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6948648-9fba-439c-8abd-32c61dc41fae · outbound

This paper cites International conference on machine learning , pages=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning International conference on machine learning , pages=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:56.993957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1948919-a542-476e-b49a-22edba9fe970 · outbound

This paper cites Universal Successor Features Approximators.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Universal Successor Features Approximators

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:57.000001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3d9030d-aeda-423e-bc7b-1edd02971fbc · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Proceedings of the National Academy of Sciences , volume=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.373103Z

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.

Observation 81561730-b8c0-4317-982e-4ddc106b66f3 · outbound

This paper cites Computer Science and Information Systems , year=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Computer Science and Information Systems , year=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.358855Z

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.

Observation 6cfbc68a-c8db-4fe2-a9d2-8e3df0c4514a · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica , volume=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning IEEE/CAA Journal of Automatica Sinica , volume=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.344870Z

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.

Observation 22976cc6-4ccb-461d-ae6d-51c7db309b4d · outbound

This paper cites arXiv preprint arXiv:2510.16187 , year=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning arXiv preprint arXiv:2510.16187 , year=

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-16T00:37:57.165835Z

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.

Observation 2b93f8a8-b638-4882-afbd-bd25798e00e3 · outbound

This paper cites International Conference on Autonomous Agents and Multiagent Systems (AAMAS) , year=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning International Conference on Autonomous Agents and Multiagent Systems (AAMAS) , year=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.330837Z

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.

Observation 4ed8b8fc-dbbb-486b-ac10-5b79fd7f1a09 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Journal of Machine Learning Research , volume=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:57.028628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec36f640-1053-426a-998b-8100fa18ef7c · outbound

This paper cites International conference on machine learning , pages=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning International conference on machine learning , pages=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:57.033762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada599fc-e207-49a0-88b2-32b5c8cc9e7d · outbound

This paper cites 1998 , publisher=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning 1998 , publisher=

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.298710Z

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.

Observation c688133b-7f24-4269-aae4-5f8b280a67c1 · outbound

This paper cites International conference on machine learning , pages=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning International conference on machine learning , pages=

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.284750Z

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.

Observation b8edcdfe-0fd2-4088-83d0-16fbea685be2 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.270554Z

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.

Observation 04b4f3be-b20f-4f62-a1cb-09827173240a · outbound

This paper cites Advances in neural information processing systems , volume=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Advances in neural information processing systems , volume=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:57.052455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3515171f-156b-49dd-bc99-c6561ce9b99c · outbound

This paper cites 2016 , publisher=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning 2016 , publisher=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:57.056678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb3b7cb-31d4-4d5b-8816-c128ba4c5b15 · outbound

This paper cites International Conference on Learning Representations , year=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning International Conference on Learning Representations , year=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:57.061137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f3f0d2-0d06-4732-a61e-49d993da7e74 · outbound

This paper cites Journal of Artificial Intelligence Research , volume=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Journal of Artificial Intelligence Research , volume=

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.228721Z

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.

Observation 68dd8a34-3cd2-4a70-812a-3ae237f2fe8c · outbound

This paper cites Proceedings of the 28th ACM international conference on information and knowledge management , pages=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning Proceedings of the 28th ACM international conference on information and knowledge management , pages=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.214314Z

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.

Observation 4f48c5d0-f9de-45ba-bb72-1d12e77f09c0 · outbound

This paper cites International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) , year=.

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) , year=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:57.199785Z

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.

Pith citing papers

No inbound Pith citation observations are available.