Paper Citation Record · LEDGER

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings

As of 22 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2604.25076.

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

pith.paper-citation-record.v1
2604.25076 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T17:09:37.436426Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy17
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba86492d-ac84-4089-b7fb-f327fc67c991 · outbound

This paper cites Learning to play trajectory games against opponents with unknown objectives.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Learning to play trajectory games against opponents with unknown objectives

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.648082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb8d3454-5367-4b5b-86fe-a3c0fd45099a · outbound

This paper cites Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, and Michael Bowling.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, and Michael Bowling

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.652259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1cf38d66-d5f3-40ee-ba85-a75c3fa88b91 · outbound

This paper cites Learning to play sequential games versus unknown opponents.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Learning to play sequential games versus unknown opponents

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.656188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f77bfa5-104a-4fee-a445-c7449f4e72eb · outbound

This paper cites At-drone: Benchmarking adaptive teaming in multi-drone pursuit.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings At-drone: Benchmarking adaptive teaming in multi-drone pursuit

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.664032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53582493-ba4f-467d-96f3-63a980d7fae0 · outbound

This paper cites other-play.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings other-play

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.675583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af2eba3d-71ba-46cb-967f-1da53279a836 · outbound

This paper cites Td-gammon, a self-teaching backgammon program, achieves master-level play.Neural Comput., 6(2):215–219, March 1994.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Td-gammon, a self-teaching backgammon program, achieves master-level play.Neural Comput., 6(2):215–219, March 1994

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.660114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aa1e39ef-0050-4b25-8c80-506d6faf1b4e · outbound

This paper cites Trajectory diversity for zero-shot coordination.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Trajectory diversity for zero-shot coordination

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.667966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 583d1763-c9b0-4748-944e-005e6c9f8d5d · outbound

This paper cites Heterogeneous multi-agent zero-shot coordination by coevolution.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Heterogeneous multi-agent zero-shot coordination by coevolution

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.671797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8112b080-639a-41f4-b15b-05e4751d44b8 · outbound

This paper cites Comprehensive overview of reward engineering and shaping in advancing reinforcement learning applications.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Comprehensive overview of reward engineering and shaping in advancing reinforcement learning applications

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.682649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25c82948-7241-4cde-8839-13ffad695ad8 · outbound

This paper cites Learning zero-shot cooperation with humans, assuming humans are biased.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Learning zero-shot cooperation with humans, assuming humans are biased

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.693922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ffcbb42-4eba-47d6-b24c-2e85a2e07c5d · outbound

This paper cites an unresolved cited work.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-27T01:23:21.678763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3aa11d4a-850c-4a5e-8ea1-0434a61a0f18 · outbound

This paper cites Theory of mind for deep reinforcement learning in hanabi.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Theory of mind for deep reinforcement learning in hanabi

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.716786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a39509b-55ac-4f28-942f-80d4baba3dbe · outbound

This paper cites Ho, Thomas L.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Ho, Thomas L

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.708444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cdedd4f5-7700-469a-9d7e-d68e87b66153 · outbound

This paper cites Eureka: Human-level reward design via coding large language models.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Eureka: Human-level reward design via coding large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.686290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8952262a-baa7-468b-ad5a-a39f158d47e3 · outbound

This paper cites an unresolved cited work.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-27T01:23:21.720430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a881e72a-e3ed-469c-a987-4fc8e17d5308 · outbound

This paper cites an unresolved cited work.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-27T01:23:21.712796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 24d8edeb-a4fe-499a-b1dc-7e89241f8a7e · outbound

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

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings The surprising effectiveness of ppo in cooperative, multi-agent games

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.704713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de521ac0-c31b-47f0-9068-92d76a5262a3 · outbound

This paper cites Zsc-eval: An evaluation toolkit and benchmark for multi-agent zero-shot coordination.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings Zsc-eval: An evaluation toolkit and benchmark for multi-agent zero-shot coordination

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.689778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db19eda7-a250-4443-9ca6-db1ca9baef20 · outbound

This paper cites An efficient end-to-end training approach for zero-shot human-ai coordination.

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings An efficient end-to-end training approach for zero-shot human-ai coordination

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.697549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 13431839-d067-490b-ac2d-c31e98639d76 · outbound

This paper cites folder".

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings folder"

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:23:21.701268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.