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Paper Citation Record · LEDGER

Scaling Self-Play for End-to-End Driving

As of 5 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 1 inbound Pith citation observation for arXiv:2606.19641.

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

pith.paper-citation-record.v1
2606.19641 v2

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T20:22:03.938518Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:58:57.674700Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 104 outbound references displayed

  • verified exact32
  • verified fuzzy0
  • unresolved68
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a1e66bb-b326-403d-852e-cc36b018c82a · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:a97d603f76f6898c542ba21490c56afa5e3176d82fd291eefc0db2bc9da8c3cf

Observation a289ae50-d2b3-447a-b4b6-198198f1a0bc · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 2

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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:1ce17a28ae4e4b6020170cea6f66db3eed1b1c47942162cf7d02db25888aa561

Observation 23752102-1070-4d44-ad07-ff07d3286977 · outbound

This paper cites Chitta, A.

Scaling Self-Play for End-to-End Driving Chitta, A

Reference 3

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unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:59c228bb13a921776c8e33300b4f86bf4ac45a66810a7d491d93e824b5bc3327

Observation 7be4b7d8-64f7-4d40-a3f6-65b6893ee2c5 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:ad8a66922ff31281f23426071811132523de336aa9bebe6aeae03c1cdb6ebca2

Observation 893a1fbf-d21f-47f3-9b30-c568f2106074 · outbound

This paper cites Jiang, S.

Scaling Self-Play for End-to-End Driving Jiang, S

Reference 5

Resolution
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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:e5b49b6b7c5ae419b0ad048702b5439d19b484fe3766092bb401818cd7cba0ff

Observation fce3c1ce-2c03-4c0a-8d78-248f45e6b2c6 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

Scaling Self-Play for End-to-End Driving EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:29:22.329228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:e19180bf2e837fefe0d32824ff36c829b1ae51128991e29edcd720848aa17371

Observation 8025f2ee-f168-45d2-8cec-5d42e28dda71 · outbound

This paper cites Poutine: Vision-language-trajectory pre-training and reinforcement learning post-training enable robust end-to-end autonomous driving.

Scaling Self-Play for End-to-End Driving Poutine: Vision-language-trajectory pre-training and reinforcement learning post-training enable robust end-to-end autonomous driving

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.332196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:f97dc3698635e79549b9f2183decb43725506c56cebb46ed03a8658ca90294ef

Observation 366345d4-d7e3-42cb-a1a8-e5fe48417e47 · outbound

This paper cites Data scaling laws for imitation learning-based end-to-end autonomous driving.

Scaling Self-Play for End-to-End Driving Data scaling laws for imitation learning-based end-to-end autonomous driving

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.347012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:171c43a45d92401fcc1783cf119bc63bd19ce8e5acb2b9b7c4201d139fd6c879

Observation eaee48a7-2b3e-4b89-9cff-799a50ebd0ef · outbound

This paper cites Naumann, X.

Scaling Self-Play for End-to-End Driving Naumann, X

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:638057023feff5f528a43d8174e13b10d53e498b2cc21f581dc2f260e40ba5d0

Observation 59bcef49-5216-4ac6-99a3-a1a225d49cd6 · outbound

This paper cites Scaling Laws of Motion Forecasting and Planning -- Technical Report.

Scaling Self-Play for End-to-End Driving Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.375263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:6b28ff8a884c42793343fd0e47636ad7a773b06727a89ad24f5f9f5b79827ea5

Observation 9abdc20b-5616-4b32-854c-8d597d4dfb78 · outbound

This paper cites Le Mero, D.

Scaling Self-Play for End-to-End Driving Le Mero, D

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:1f3bf77857d50623578e135acf3971c866d813f154a832f3664d1c146c1b43e2

Observation 4bd37b6b-5ad4-4e57-b7d0-008ca6464908 · outbound

This paper cites Ljungbergh, A.

Scaling Self-Play for End-to-End Driving Ljungbergh, A

Reference 12

Resolution
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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:aa89addca8556ff21f6f9bf40673c12dd57d568acc3ba6c0b06842db42a1f28b

Observation 9390bb94-f291-4b1e-9eb6-cc757daa34e3 · outbound

This paper cites Karkus, M.

Scaling Self-Play for End-to-End Driving Karkus, M

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:0b43c8182d3e6c75edf75414425a8ee742aef24298991f945d90779e8ecb1354

Observation 1cc10ff3-48ab-48a7-9bae-001a537413dc · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:4f7c71071a94ae78788cf4a876930383f4e255e09ec08b3b2c28115543185fa0

Observation bd5fde13-3a4f-4051-8302-eda59ddfe3be · outbound

This paper cites Codevilla, E.

Scaling Self-Play for End-to-End Driving Codevilla, E

Reference 15

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unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:6e776e8cc1d83726ea18f2f820fb09f7bb9c743c2eb1ce90b4fcb5fc2224352d

Observation e39b376e-d5e6-4e3f-a8e9-e8e2bd36bc8f · outbound

This paper cites Cusumano-Towner, D.

Scaling Self-Play for End-to-End Driving Cusumano-Towner, D

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:c822d1f2838bddb64f6b59ba48fabda89b6bfff65bdbed8405ebb195775708d8

Observation 3b30fc97-13d3-42c2-aa90-5cb382c2a2db · outbound

This paper cites Cornelisse, S.

Scaling Self-Play for End-to-End Driving Cornelisse, S

Reference 17

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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:99c400a85e9954c658f45dfe568a14b1130b4cb6d5200c69ed1c53a39f3b7e36

Observation 48ecd945-4d8f-461b-8b26-7c4906fc6b4c · outbound

This paper cites Cornelisse and E.

Scaling Self-Play for End-to-End Driving Cornelisse and E

Reference 18

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unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:96f564aac195303b92286add6a808124934eaa550a405d99fe4170d89915550f

Observation c40d46fb-0a18-4555-b85d-eca95e30da87 · outbound

This paper cites Building reliable sim driving agents by scaling self-play.

Scaling Self-Play for End-to-End Driving Building reliable sim driving agents by scaling self-play

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.339672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:b3f9c97052bc2dd330070f57fdc99cd6069abec9b5727897cb860337b5c7bcfe

Observation b9b3fb53-31b3-4bd7-9f04-c212aca75451 · outbound

This paper cites Zhang, S.

Scaling Self-Play for End-to-End Driving Zhang, S

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:baec7a41d6626ca100534446f04ed3338d94b4692137eb7efcaabf061f42e2cf

Observation 572c56d4-e208-4759-95c2-4c3c3a26d530 · outbound

This paper cites Driving on registers.arXiv preprint arXiv:2601.05083.

Scaling Self-Play for End-to-End Driving Driving on registers.arXiv preprint arXiv:2601.05083

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.372678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:a8b6f039da63a0680e4772e6bbe5754253668e74b3603c1813f3dd5cb75e179a

Observation 750f8667-094b-46ee-98ef-6b1948407404 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:fcc6224dc9367b37c94b68ae55c0c40bd47afd1a6a339fb71e1ef7dee1fd311f

Observation 0c7c4693-a678-4878-9bc1-827536bf891a · outbound

This paper cites Agarwal, N.

Scaling Self-Play for End-to-End Driving Agarwal, N

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:c5e2922c98af65ab55f0a596076abf80a113f1ac2851977dfa9aef4dfc2d5acf

Observation d239e4c6-e845-42bc-b5d5-817610a6455d · outbound

This paper cites Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail.

Scaling Self-Play for End-to-End Driving Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:29:22.382845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:dcda555f2bb129ab6e55143f125e7a339e644efaa81d4ecd780c941cb6833411

Observation b6e104be-703f-4558-b77a-6f5d801200b2 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:6b2462db5a1cc18a14f70466fb3351c9c79f95e44638e264264724e221dcd6da

Observation 29775f65-6292-45d0-95d9-c0df84ef79d6 · outbound

This paper cites CaRL: Learning Scalable Planning Policies with Simple Rewards.

Scaling Self-Play for End-to-End Driving CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.337007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:766c2dbe58077ad965f25ef984a8ca342c8936dba5f4c40ebec847fb50113ebe

Observation 09f79d2a-1c8c-428f-93a0-3e2f8fa87a8a · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 27

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unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:8acaabc9a266034d7e5df4248a8f55e879c3f5943914e9a0c8db5ff5626e8a29

Observation 1c1f6d55-2997-471f-a0fb-560cb3094ca3 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 28

Resolution
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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:0b4418fa76230234ce146eb719dd583283977f401e49f86f8b6d1fe46dbb622e

Observation 19e44de2-d84a-4e95-a48d-bc15f64618af · outbound

This paper cites Caesar, V.

Scaling Self-Play for End-to-End Driving Caesar, V

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:69f2372cf9ad903a6156ce76820bf54cf666c6f3fb64e059cfddb90ee457dea2

Observation db553cda-9a46-47eb-b60e-6fe70038852e · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

Scaling Self-Play for End-to-End Driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:29:22.365199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:12741b2eec5c7324605fc2a63eff216d8b6a83589333501806352b659e362f73

Observation 19e0ec18-9947-459e-8932-8690d2f4fd4b · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:6960ce77cc4c22674606e04d10b05558498d9a60686407c0c26fcbe002f68856

Observation 2aab2d62-6631-4ab0-8013-99d52234d71b · outbound

This paper cites Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125.

Scaling Self-Play for End-to-End Driving Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.393301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:92d874f1b68cfb12eb9b3b8f14c7c4199465b8fdf73822ec2bcb603dbfa21754

Observation 0900384f-56d0-4b4c-9f33-f6cc8014bc05 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 33

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unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:192fd1d5ef2d9965279395f1e3e6b53e454a511faf7d5dbed18150b56d1c7761

Observation 5f6ec8b5-2700-46b9-a557-e3441fcea9c3 · outbound

This paper cites Ghilotti, E.

Scaling Self-Play for End-to-End Driving Ghilotti, E

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.334611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:7b840b550627456f8c38b21e9f0266bcfc0cc5514d8ccc81f7bba85955d3e923

Observation b655dd27-dcca-4bf3-9a2c-0ac1bc850cae · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:ca56946af4247d824a98ab82c3632f3f379b46104aab435c832910f40f8bad91

Observation c08c67b3-e7a5-4154-8435-f148ecaab359 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

Scaling Self-Play for End-to-End Driving Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:29:22.344260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:312abd65fcae1fd6e76626377af36f63414ef6d4f9de7f9302693f8a4db2a099

Observation d58f8b89-8e04-4033-8370-4ac33415cd11 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 37

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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:6161f0ef6b7a22a61edc691d6c547fe1df53b7ebd6ff7054b7d80563066c6b67

Observation 098b5317-9ce1-45a8-aa5b-9475ad4eba59 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 38

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unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:e47d592f4517a28919e15807dc4fb535c894b31e8230c1c3870c0ea9afa91b3f

Observation 55914dcf-73d7-49a7-9cf4-63e6304731b0 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 39

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:fae34781c3ca1792af2070cf20a6cbdd6d7859955914398eb3a51290720d9794

Observation 8fc356c6-a95c-4c90-beaa-4a8dfa397edb · outbound

This paper cites De Haan, D.

Scaling Self-Play for End-to-End Driving De Haan, D

Reference 40

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:28048158c9d5171364748b408c21a2f5514c26fdf54a98e3face35b49b5b41f5

Observation 1a175f24-2243-4a5f-8651-98ccc5a53065 · outbound

This paper cites Dauner, M.

Scaling Self-Play for End-to-End Driving Dauner, M

Reference 41

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:060b17b6cd18d6d58fca643abfd8fec15714884b0e6078d5335c09171d554d74

Observation 8137fb0e-c02b-4d53-9722-c2ed72cabb03 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 42

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:c32498d727b0bbea64e2c4aef5c94eb606a5554804a1fc97e58af20d4d923d73

Observation 8124a7cf-5d9c-4f1e-8113-b368cdf1f21c · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 43

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:aac520e65a3a2124489d3aa3d0e752e4a797a87928119fe6a8a447098800fd7f

Observation 78dac9ec-6554-4f10-ab3e-9502fc02421f · outbound

This paper cites Toromanoff, E.

Scaling Self-Play for End-to-End Driving Toromanoff, E

Reference 44

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:ba7b0451c62f901d1885a95cba7f613baca2c02f6efc6b51df004a4aecf826d6

Observation c25793d0-a99b-4b21-b8c7-5996a47df92d · outbound

This paper cites Chekroun, M.

Scaling Self-Play for End-to-End Driving Chekroun, M

Reference 45

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:2151dce4ac2af3f4a75efb2d8bc49e10d57563aad5693348d2d65c6f48b22c24

Observation 95372110-83a8-4fe7-a832-0a68bb015ec0 · outbound

This paper cites Zhang, R.

Scaling Self-Play for End-to-End Driving Zhang, R

Reference 46

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:3d0c3fd3d8c8cef0e0cfc623b0643e12022fe8d15f696faff3e9a9252480cb32

Observation a82b5cce-3048-4467-a5a7-0516b2a2f2cf · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 47

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:28399c328b447685fda3b8b1e2df6be1678bf8106ce72838ebd30196869c130b

Observation db616bb0-95f7-4f6a-851d-24d6f41fb599 · outbound

This paper cites ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction.

Scaling Self-Play for End-to-End Driving ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 48

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:6db6119c344332ddaa05b56ec11208b4626734b9363e591d264a1cf48490eafa

Observation 0dee7c52-ef94-44b3-965d-9392a5d3897e · outbound

This paper cites Zhang, P.

Scaling Self-Play for End-to-End Driving Zhang, P

Reference 49

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:31506a9a29a0da29445e16e54d975f5474ddc10d88d833557cb379738659237d

Observation 5e193de3-8e0c-476a-ba03-42f400efd66c · outbound

This paper cites Query-Efficient Imitation Learning for End-to-End Autonomous Driving.

Scaling Self-Play for End-to-End Driving Query-Efficient Imitation Learning for End-to-End Autonomous Driving

Reference 50

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local_arxiv, observed 2026-07-04T01:29:22.390600Z

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:121abf9a9f4ea891b4b940203df81816d7831308da58f3315d3d436f227116a1

Observation dfc8aacf-2800-4c58-a017-10f9aea1fedd · outbound

This paper cites Prakash, A.

Scaling Self-Play for End-to-End Driving Prakash, A

Reference 51

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:661b902843cc1f951356178dd926fee0423ff4077f5ec8ce44ecad9c3c24ee8d

Observation ff7565a3-c925-41f7-beab-f7c4bbb5463a · outbound

This paper cites Road: Rollouts as demonstrations for closed-loop supervised fine-tuning of autonomous driving policies.

Scaling Self-Play for End-to-End Driving Road: Rollouts as demonstrations for closed-loop supervised fine-tuning of autonomous driving policies

Reference 52

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:cf396cb4390e6e2fc17d624ee31d0c283bd777edc2c21ceb06a85162591f54cc

Observation 7d5faf6a-d1aa-4469-83e5-863a1e22e30d · outbound

This paper cites BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving.

Scaling Self-Play for End-to-End Driving BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving

Reference 53

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local_arxiv, observed 2026-07-04T01:29:22.341974Z

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:e0624bb7072a2da537879493a11e33937a304b6091c0dcff47ef0f19dfbb805e

Observation 341dcc03-3fc1-4fde-9baf-e9f3d19f3d03 · outbound

This paper cites Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models.

Scaling Self-Play for End-to-End Driving Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models

Reference 54

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:98d3b1eb039a45c42f149936a618893872296301d88e7f0c3e9da567ecd19346

Observation 770d4586-732f-4d45-8a7e-51ca79fd7172 · outbound

This paper cites Dosovitskiy, G.

Scaling Self-Play for End-to-End Driving Dosovitskiy, G

Reference 55

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:b9dc3855cf53a54cdfec964689d639481f281b541afdb1231bd3e6ab845fb6fe

Observation 8ccac6e0-c815-469a-8711-298b6c5e2410 · outbound

This paper cites Coelho, M.

Scaling Self-Play for End-to-End Driving Coelho, M

Reference 56

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:de2072eca4d5bb5b9021c1508c0a61e8c08f4385bcfa824a76ba5e84d0795b84

Observation 0e04d56b-f877-4842-9645-5c96cf0e5109 · outbound

This paper cites Osi ´nski, A.

Scaling Self-Play for End-to-End Driving Osi ´nski, A

Reference 57

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:cb21859cd8fcf40527c029fdc380410a233f367bc396a1a48423d343a784319c

Observation 5f4db6ea-ae7c-4d12-982c-88b2eeb72269 · outbound

This paper cites Gulino, J.

Scaling Self-Play for End-to-End Driving Gulino, J

Reference 58

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:fbb0bae2c1b6d34685c713f7ebcc2a6e4ac91f327a74f1443fc77c4a1e26da76

Observation 2d0cefca-6f9a-4165-8daf-e45011f10ba8 · outbound

This paper cites Vinitsky, N.

Scaling Self-Play for End-to-End Driving Vinitsky, N

Reference 59

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:5dd54faa4e4c51a7b03aed640e6b5a99a78119693467374eb2d468da1cfb8062

Observation 6be8c971-47b7-46c9-bf2a-a956bd8aea75 · outbound

This paper cites Kazemkhani, A.

Scaling Self-Play for End-to-End Driving Kazemkhani, A

Reference 60

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:192b252db8a2d0ef79d7add578da8446f4c607fee54881e974e41cfdce972560

Observation 828ac4fc-7fbb-44a3-84e0-a64a50958ce3 · outbound

This paper cites Wymann, E.

Scaling Self-Play for End-to-End Driving Wymann, E

Reference 61

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:8ad639a5be1d989455e29045499a6d218fbea74beca6a6cbf05abf4e7a49cf43

Observation 45b7535c-087b-4876-abb7-1e71b83d8a7e · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 62

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:8df264f1b73114a2c1147dd8103d7e1870d8746af9e29df92823e7a0d100b482

Observation d5b19d53-e8df-4885-ad32-322239f51e64 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 63

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:58e7477d5956ae4ce99e4c8915a9bcf3d5a3bffda8c6319bc2ea0213776d1884

Observation 64e195ce-4cc4-44aa-8f3d-16bcc85c48a7 · outbound

This paper cites Tonderski, C.

Scaling Self-Play for End-to-End Driving Tonderski, C

Reference 64

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:2f5e38cbc513ed2b705e7164e8d58cd3035c4791bf382ade071414769f164855

Observation c29c01b0-cef9-45fb-b85b-fa1376330f4c · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 65

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:e05f5634c18f98f64e73cd4c06cbf2c1e137f212ba9db7ef955ee00d84a1fcb0

Observation c089e78d-b212-49b5-a3a6-cd9dbb19b787 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Scaling Self-Play for End-to-End Driving GAIA-1: A Generative World Model for Autonomous Driving

Reference 66

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local_arxiv, observed 2026-07-04T01:29:22.326710Z

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:bb2b6e4cc048c0a288883b009e60c34b5a8f745894a61769e695d42e2c6011fb

Observation b7d6db38-3ac6-422a-b10c-9a61f0771902 · outbound

This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.

Scaling Self-Play for End-to-End Driving GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 67

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local_arxiv, observed 2026-07-04T01:29:22.396023Z

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:d580fa5efb3e7c15e4cb30fc8c29fe7dd44b6db80673dbd129172800de9702db

Observation bc933c94-a10f-4c50-a98a-70caa992b70f · outbound

This paper cites ReSim: Reliable World Simulation for Autonomous Driving.

Scaling Self-Play for End-to-End Driving ReSim: Reliable World Simulation for Autonomous Driving

Reference 68

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local_arxiv, observed 2026-07-04T01:29:22.398560Z

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:2d52a20ab7ac9b419e5ad1951dde24faa153c62558f6a999ab3c4705dba76ac0

Observation 628be91a-084d-4f26-a79a-65c307b64136 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 69

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:0b96541f3d8387522fd6bf56296deec21ed8484b6f18c308bd17f3fb27357c05

Observation c295d7f0-66d9-4fe1-8456-657d251cc7a0 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 70

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:23842514af3e48672fb40cbdef2cee4ad606abf8526a8b28d066fd568b7cdebf

Observation f7401faf-af8d-467b-a5d1-c9036a9fd3df · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 71

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:8afe092c9dfa0933232271e8b72ddc461bf44609efd1a922de169c0b491db222

Observation b9ca2c17-0ae8-4b58-973a-026ef664be78 · outbound

This paper cites Shacklett, L.

Scaling Self-Play for End-to-End Driving Shacklett, L

Reference 72

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:3227aa8763c4d4c2d446f45e4229658df8e4f93a2cc1bd8128714ca32ed56288

Observation cb00e1fd-35da-4d15-9d22-b13b1f788c2f · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 73

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:f14c89a6ae4f1522456915a72fb74c177abdb499a53eb1737ab210a39002d246

Observation eba0d92c-b35f-45aa-962b-57ec17955203 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Scaling Self-Play for End-to-End Driving Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 74

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verified exact
local_arxiv, observed 2026-07-04T01:29:22.401306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:9bbf0a7bd463cf0a3f4e179e5c48f0a226100d128d8364586a9de25781c80752

Observation c3054632-7297-4d6b-94ca-9fa1e117a741 · outbound

This paper cites Silver, J.

Scaling Self-Play for End-to-End Driving Silver, J

Reference 75

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:44e0927b4ba2a8a45f6b73efc9de1324f0b7e5d9f0bb31e36f4a589324d46ec4

Observation d91981fe-2ca5-4c8d-b97a-0729fd598eb8 · outbound

This paper cites Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.

Scaling Self-Play for End-to-End Driving Human-level performance in first-person multiplayer games with population-based deep reinforcement learning

Reference 76

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verified exact
local_arxiv, observed 2026-07-04T01:29:22.362634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:18155a1a49ef3f64b8cf004ce9ae4da339770f93034e236b86276859ad03b0fd

Observation 752d6699-15ee-4765-8b4a-5a8e4ec791cf · outbound

This paper cites Bakhtin, D.

Scaling Self-Play for End-to-End Driving Bakhtin, D

Reference 77

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:e3c5dd94895a9fc887afa3259b39992f8b26d0026f53808e8a90db0041f9f72a

Observation 1db3c9f7-8505-4b71-82f2-fccaa14ba8c7 · outbound

This paper cites Chang, A.

Scaling Self-Play for End-to-End Driving Chang, A

Reference 78

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arxiv_id, observed 2026-07-04T01:29:22.369867Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:4bc3a1ddc1b3708c7e390a07158684d6839108b0a05e4054a9a26fc7bf87ccd8

Observation 678b7927-a6f5-4221-9ff5-2993ba62bbcf · outbound

This paper cites Learning to drive in new cities without human demonstrations.

Scaling Self-Play for End-to-End Driving Learning to drive in new cities without human demonstrations

Reference 79

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arxiv_id, observed 2026-07-04T01:29:22.385523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:ec879088160a1d1b3d7f6cc153c6dc4d91777225d1a90a335775a32a175ce899

Observation c556bb24-e442-4291-8296-9c059f1011b2 · outbound

This paper cites Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving.

Scaling Self-Play for End-to-End Driving Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving

Reference 80

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local_arxiv, observed 2026-07-04T01:29:22.388087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:84b7295620f5af6d90d78dfb7aefa235ce05a11485bf92c5ff36cf31b7d8be67

Observation dc51714e-8801-4d4b-a38c-3d6fbe84aa6f · outbound

This paper cites Heterogeneous Self-Play for Realistic Highway Traffic Simulation.

Scaling Self-Play for End-to-End Driving Heterogeneous Self-Play for Realistic Highway Traffic Simulation

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:29:22.349425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:3b4c2097ad378a1b48e76e7945763bc86816154f5214e563d0bb6e79debd9ea2

Observation 305c9357-d8ec-4569-8085-80020522f274 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 82

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:b6b4108e826d96f8c4195b7ba972f6ee9425532e6264674c73be8b973aa33eec

Observation 60e1ebc1-470c-4fae-85ee-7db480abbcda · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 83

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:7e28a2d36e063e15cd723a2a13189310ef64d8dcad1a647f97236071611f5506

Observation ae6203fe-b5c8-48cc-b9b1-a02b0528fa67 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 84

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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:783e36fc2c8cab390ce2b715bc7434defb244ab96d3fdf1aac465776f3e6e8de

Observation ff1aa219-b8bb-4a37-bf34-a30ee6c178a8 · outbound

This paper cites Schulman, S.

Scaling Self-Play for End-to-End Driving Schulman, S

Reference 85

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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:4f2945cd9b83ffc3af5f01e1a2bede27287e04aaeb34bb4dd224d00c210f5a07

Observation 4d014a28-29b8-453a-b0ba-c9e8e56b0c1a · outbound

This paper cites Proximal Policy Optimization Algorithms.

Scaling Self-Play for End-to-End Driving Proximal Policy Optimization Algorithms

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:29:22.380196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:e2816d6c55419bbf1abef0c81bf72c3c217a583d0c356bdbc70975b722ef5987

Observation 58e7a705-7e79-405f-8919-1f1cbf23dc61 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 87

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:a655436ae695eadfd28eeaac82c85c10862c7d0b791c77b50906b85d93090c62

Observation 37c2ef5f-d636-405b-ab02-56c5c22cb39b · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 88

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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:c8a5ca687bc8cbff27be44d866d10274a734f670698095e1edba1e24ccb613e7

Observation 1805cd73-fab7-4fb1-974d-199ac14cb6ce · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 89

Resolution
unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:23a471f59ce529ebc22400cb011eb4b36fd621498fe16d6e14ad91910cefeac9

Observation 8f688db8-6f07-4127-a98f-44cb9316c3bc · outbound

This paper cites Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning.

Scaling Self-Play for End-to-End Driving Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.404057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:02799be172d1e60a42dc7fc090b6728e940ea5eb1c98b2c70bcfc85a232960bd

Observation 621ce96b-a65a-4822-842d-457976fc8ed3 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 91

Resolution
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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:e3c6b63b70d6c80db114224557f174b1c8688e46065ec49cdf36b78ba97b0969

Observation 9b3f8d72-932c-4934-8cab-016c5188846f · outbound

This paper cites Isola, J.-Y.

Scaling Self-Play for End-to-End Driving Isola, J.-Y

Reference 92

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unresolved
no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:d70ee4752381e57bac55363ce9ceddbc869cfd4de3607e5c37a08d6165bb5662

Observation 50db137d-c5b2-454b-af0a-919e7a0f2936 · outbound

This paper cites Bousmalis, A.

Scaling Self-Play for End-to-End Driving Bousmalis, A

Reference 93

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no resolver link, observed 2026-06-26T20:22:03.938518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:97413bd6e27a33694a8f5255a2f842ebdae4ed1323eeae2c0bcf8246486920d2

Observation 975e0392-a67e-4eb7-8e6b-6f263f7b95c6 · outbound

This paper cites Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer.

Scaling Self-Play for End-to-End Driving Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:5c3699e0c90f0fc858cfa4817f5f93626811b4b9be060c48a5421b72ca797656

Observation ad8192c1-6b3f-4898-9f52-b65b1113e99a · outbound

This paper cites Guideflow: Constraint-guided flow matching for planning in end-to-end autonomous driving.

Scaling Self-Play for End-to-End Driving Guideflow: Constraint-guided flow matching for planning in end-to-end autonomous driving

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.357063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:051d9521f287e843f66d82c4036a6686364b08203a75b0276cbbb3989b06016a

Observation 76e26ca7-9318-4591-ba6a-9c1eaf94c4c8 · outbound

This paper cites SimScale: Learning to Drive via Real-World Simulation at Scale.

Scaling Self-Play for End-to-End Driving SimScale: Learning to Drive via Real-World Simulation at Scale

Reference 96

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:29:22.367570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:6b16d7a2f6ec70dedd3db72a24505c79c216bda8c4ff13e8f9d65334373dd932

Observation d0ad93af-e034-4fdc-b8f4-917249e8e696 · outbound

This paper cites Nguyen, M.

Scaling Self-Play for End-to-End Driving Nguyen, M

Reference 97

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:0ac70053659f3979828b777cfd4a8124646c6f46cd7c1c4a0c833f8c8854bb2f

Observation 84e92cf8-e0e6-4c3d-aebb-add76fa57270 · outbound

This paper cites Chitta, D.

Scaling Self-Play for End-to-End Driving Chitta, D

Reference 98

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:f031131af7aa3a769110b4c00e32ad4cb844665ddcb817fbfc767f85d06ac8bf

Observation 17be5f7b-7c7e-43d8-ad10-77d88ee9be90 · outbound

This paper cites an unresolved cited work.

Scaling Self-Play for End-to-End Driving Unresolved cited work

Reference 99

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:cd242912f06312d3228b8ea002d58379a7141dc8850a1c28ee05dd6e0d827b25

Observation dc75fd39-b52b-4269-83a7-da6589ea4b09 · outbound

This paper cites PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice.

Scaling Self-Play for End-to-End Driving PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.377860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:5c9e22ed12d74d6389764438356de9094eec45fc83ef8582a5a4833482dcf373

Pith citing papers

Observation 4a86ed65-696b-4dcd-be92-144f8ba63ea6 · inbound

Pictura: Perspective-View Self-Play at Scale for Driving cites this paper.

Pictura: Perspective-View Self-Play at Scale for Driving Scaling Self-Play for End-to-End Driving

Reference 25

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no resolver link, observed 2026-08-01T00:58:57.674700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:58:57.674700Z digest=sha256:50e7c79232fd45e481d81e8ec0334b6c52b12695074bb4114dbc20d8d474f18e