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Paper Citation Record · LEDGER

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2606.31101.

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

pith.paper-citation-record.v1
2606.31101 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:51:20.153785Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 723258a2-aa98-4dba-a63a-553fae13d906 · outbound

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

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors International Conference on Learning Representations , year=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T20:22:53.592665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:1f2030782ff855e6319318251041fecb8e23815fac3f01e648590c37f830cd79

Observation cddf216a-b017-477b-a1aa-1a6a8524815e · outbound

This paper cites Anytask: an automated task and data generation framework for advancing sim-to-real policy learning.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Anytask: an automated task and data generation framework for advancing sim-to-real policy learning

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:05:41.171368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:f50f44c2af8ef66729f728e1698068befc531be32de7940535c46a546b532c93

Observation 3c478dcd-5f88-4134-87d9-af7f30cca027 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Cosmos World Foundation Model Platform for Physical

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T20:22:53.593013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:690110db2794a3bd392145df79951ababa3a7b88ae2be66075c0318725ce4efb

Observation 9a8dfabe-4351-4961-af6a-d123a896fd91 · outbound

This paper cites Proceedings of Robotics: Science and Systems (RSS) , year=.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Proceedings of Robotics: Science and Systems (RSS) , year=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T20:22:53.595108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:822b545959a9c13ff5105edbc2393e0d1572e331f2cebab59e5d30df422e59f6

Observation 15f37efd-4103-4291-8ac1-eeaf1b2d7f96 · outbound

This paper cites an unresolved cited work.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-07-06T20:22:53.583336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:6309c2fa189c04626fcdbd75267fea98eef828272fa6c46f8dd739128c48c3fe

Observation 9d6e5fab-88bb-411d-ba80-71ba8f14338e · outbound

This paper cites IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , year=.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , year=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T20:22:53.586981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:77870bfa7a204a02848096efc5e929bceb6734ffa5f34882648ad51d4ef4aad0

Observation 7efe213b-5b04-484e-9dd1-a7b54887fa87 · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Solving Rubik's Cube with a Robot Hand

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T10:05:41.168720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:cbfc23f5e73f5cb4cecaf5bb2b0ad0789a36b4dfcd672f2317788ce1e951885c

Observation c1d9b82f-1fed-43f7-ba6a-d69c54915efb · outbound

This paper cites World Models.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors World Models

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T10:05:41.163768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:187b089191fd4e763f654ff9fc1659afaa47abd082171338b633b8453c2d2924

Observation 2c85c383-5964-497e-8ad4-1ca942cacac8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T20:22:53.590492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:0e069954d7e1f42894311eb6e7ab8b9af76cf799a1e38accd86081e776c0494a

Observation 9a61f5bd-429b-428c-a2c0-95bb7c6cfa86 · outbound

This paper cites an unresolved cited work.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-07-06T20:22:53.580817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:583399940263a07d7a14bd558eeb1d7bc1af294a2ce82ef51a8c4bd597314544

Observation e1253cd6-54cd-4646-82cb-64f8620dbd63 · outbound

This paper cites an unresolved cited work.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-07-06T20:22:53.589090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:3bce1b185403e17726b3055e6ebcd20e0c8a93172f8e8e6b9a67fe446ef958bb

Observation 8b16ae45-74be-4cf5-b641-1681d17c8011 · outbound

This paper cites Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey.

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:05:41.166264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:51:20.153785Z digest=sha256:ae220b1e389719e84b4904b8ac3670df8a3b4bcdabe01e0a704117e9a1a6d697

Pith citing papers

No inbound Pith citation observations are available.