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Paper Citation Record · LEDGER

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas

As of 7 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2605.30003.

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

pith.paper-citation-record.v1
2605.30003 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:08:40.245724Z

measured 25 of 25 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

25 of 25 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 1d25018a-90e1-45fe-906e-5bd85edba659 · outbound

This paper cites Multi- agent reinforcement learning in sequential social dilemmas.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Multi- agent reinforcement learning in sequential social dilemmas

Reference 1

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:74a9f68736d59366a191bf8645968506924484ea3fe236fcbabdc89050b8f033

Observation 0b4f7704-8b3b-489c-ba57-ba58d113ad27 · outbound

This paper cites A comprehensive survey of multia- gent reinforcement learning.IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(2):156–172, 2008.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas A comprehensive survey of multia- gent reinforcement learning.IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(2):156–172, 2008

Reference 2

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:3a1161b328822d4343d274445e8dd21b5ce49e5c3a208b795813fea16f59005a

Observation 513985fb-12da-413a-b227-501a0b526bf2 · outbound

This paper cites Beyond Scalar Rewards: Dense Feedback for LLM Policy Synthesis in Sequential Social Dilemmas.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Beyond Scalar Rewards: Dense Feedback for LLM Policy Synthesis in Sequential Social Dilemmas

Reference 3

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local_arxiv, observed 2026-06-29T00:12:50.014225Z

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:6af8362db94e265acdb5b1abfdca6f8ebe16da5e6728eb5eae68c3e3580f31d7

Observation 2977f3d9-9f64-47b8-bdc2-bb9df39846fa · outbound

This paper cites autoresearch: AI agents running research on single-GPU nanochat training automatically.https://github.com/karpathy/autoresearch, 2026.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas autoresearch: AI agents running research on single-GPU nanochat training automatically.https://github.com/karpathy/autoresearch, 2026

Reference 4

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:41b10ecfb33e20271abbbbccdc4bb035c20ae608919ee4c1f9b117a03a1498a0

Observation af518828-3aa1-4603-bcbd-4784ad9dc553 · outbound

This paper cites Koster, Heather Roff, and Thore Graepel.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Koster, Heather Roff, and Thore Graepel

Reference 5

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:56c4143d937a7df95d5a85c27e5ab6f46c27c94a7b2d6512e8e2f2dea2d45021

Observation 13de374e-9a0c-4758-ba15-22fd654a618a · outbound

This paper cites A multi-agent reinforcement learning model of common-pool resource appropriation.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas A multi-agent reinforcement learning model of common-pool resource appropriation

Reference 6

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:0a26a261413141c1dfd99e9b11ff9f3f8429a2d53ac37c80fdc58f67d5fd390f

Observation 1488d8fa-742f-4796-8fe8-fa646328515c · outbound

This paper cites Complexity of mechanism design.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Complexity of mechanism design

Reference 7

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:6e041ef0e0c0927440a780e79e05514bd847cff446ba948dcc5e56645306db4a

Observation b72a0c25-ada5-4973-9cd6-bfafb149adb4 · outbound

This paper cites Bayesian persuasion.American Economic Review, 101(6):2590–2615, 2011.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Bayesian persuasion.American Economic Review, 101(6):2590–2615, 2011

Reference 8

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:2954f728d5407c6bd54b0ac8f6abd6072d2b13f524f675b4beae0e8b95a27ec6

Observation 8e25480c-8e1c-4946-b03f-e8b6562e1e42 · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 9

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local_arxiv, observed 2026-06-29T00:12:50.016791Z

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:f2ac6036ccee88a67aa22d5789f3d052ddf7afa1b6b18ab998cf7facc3afd104

Observation c341ee46-d027-4a7d-8b7b-5eeb4a5bcf78 · outbound

This paper cites Mathematical discoveries from program search with large language models.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Mathematical discoveries from program search with large language models

Reference 10

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:5bb2853df0f0bae41d18a4114f14e09d6c4e288616808cf0d85ec0cfc93ed6d5

Observation fd93de90-3e65-42e1-8bb6-afce241e3a22 · outbound

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

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Eureka: Human-level reward design via coding large language models

Reference 11

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Observation 2c3192a9-af84-4b62-8ab3-1a3fb974d7f3 · outbound

This paper cites V oyager: An open-ended embodied agent with large language models.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas V oyager: An open-ended embodied agent with large language models

Reference 12

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:049edc5bae41d255007260965f9311de420b0c54b3e70bccbf0b2cb986efded6

Observation 71d2c5ba-16aa-4ec3-8fa5-d52471a8f48f · outbound

This paper cites Code as policies: Language model programs for embodied control.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Code as policies: Language model programs for embodied control

Reference 13

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:5b777453df307abb9563020b40e573e9bb69e1c471f541bbbf3a172fe0e95c15

Observation ed9f1217-c112-4838-88be-a6a158468e52 · outbound

This paper cites ReEvo: Large language models as hyper-heuristics with reflective evolution.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas ReEvo: Large language models as hyper-heuristics with reflective evolution

Reference 14

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:bee7ec817672638f6cebfcb3232f72be7020a12ff80bd280b58cbcf985912e91

Observation bde184c9-6fb1-448b-b768-cf956651d696 · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Reflexion: language agents with verbal reinforcement learning

Reference 15

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:cfaff7d1582da053a7af17de829961763736593de4522d6aced7583c97a4586b

Observation 1ceb0784-e440-456a-9402-572a64973b28 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Self-refine: Iterative refinement with self-feedback

Reference 16

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:a059b2223f1ea6cbccd841ffb659e52bb0df40867ab88809c06b342aa9abd25d

Observation a6f49b5f-380c-419d-b320-d3937a039617 · outbound

This paper cites Large language models as optimizers.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Large language models as optimizers

Reference 17

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:bdc883cef9559435a65a4ff11c1175bffe39d6c4eb451cd6fd4e2cefaacb71aa

Observation 94895b71-9569-479f-b3bc-c155ed7dab7a · outbound

This paper cites arXiv preprint arXiv:2602.13949 , year=.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas arXiv preprint arXiv:2602.13949 , year=

Reference 18

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arxiv_id, observed 2026-06-29T00:12:50.011787Z

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

source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:86142de75d7aff060019e4902927ccda196d8e4b6312a398b2202c70ea5fac85

Observation 9d32a5ea-a552-46c3-b3ac-fb361d87bf8f · outbound

This paper cites A researcher ablation across R-LLMs, in which the same fixed system prompt pR (Appendix C.1) is run with several frontier coding agents, is the single most important follow-up.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas A researcher ablation across R-LLMs, in which the same fixed system prompt pR (Appendix C.1) is run with several frontier coding agents, is the single most important follow-up

Reference 19

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Observation 50fd5eba-f576-4a06-8aa2-586b8779a823 · outbound

This paper cites R uses no task-specific scaffolding.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas R uses no task-specific scaffolding

Reference 20

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:27b7fa03d982eb0c6793ead1768f7393cd7cb9f0bc8fc5946e73573bf9085c19

Observation a347040d-9205-4801-9da2-1b32a7ea4c72 · outbound

This paper cites Common failure modes.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Common failure modes

Reference 21

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:c7e1acb37387d75dc3f3fde1e83a699303d5a314b6071235061f31d802de07ee

Observation 730b25b2-12fe-47a0-8867-11c22a2b952a · outbound

This paper cites For example: ‘is_my_cleaning_turn = (agent_id + env._step_count // SHIFT) % env.n_agents < NUM_CLEANERS‘ where SHIFT is ~50 steps and NUM_CLEANERS is 2-3.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas For example: ‘is_my_cleaning_turn = (agent_id + env._step_count // SHIFT) % env.n_agents < NUM_CLEANERS‘ where SHIFT is ~50 steps and NUM_CLEANERS is 2-3

Reference 22

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Observation 21428eb2-7afa-4ba8-9235-92d3a4b640c1 · outbound

This paper cites an unresolved cited work.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Unresolved cited work

Reference 23

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:07ef08b39e1dd89bb1fab0901d771951cb2f069b7af845fef36d71a97013c76e

Observation 4700c907-752a-4c9f-9c03-829e5e31a9fc · outbound

This paper cites an unresolved cited work.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas Unresolved cited work

Reference 24

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Observation 0cf1cb04-0807-4057-b0a2-6052dfbdba10 · outbound

This paper cites 8 agents earn +200, 2 earn -100, maximin = -100.

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas 8 agents earn +200, 2 earn -100, maximin = -100

Reference 25

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source=pdf_text observed=2026-06-29T00:08:40.245724Z digest=sha256:c7e619076e71dbcb7f957f6e62c6e3d718becd5cf3518fe3ce6638bf599b0933

Pith citing papers

No inbound Pith citation observations are available.