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Paper Citation Record · LEDGER

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models

As of 6 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2604.25859.

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

pith.paper-citation-record.v1
2604.25859 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T15:42:10.954090Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

14 of 14 outbound references displayed

  • verified exact8
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1954cdae-ecd4-4fff-85df-b06b234b3810 · outbound

This paper cites Motus: A Unified Latent Action World Model.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Motus: A Unified Latent Action World Model

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:44:37.047333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:9381ef511902159cd2ef878abc9188cbb502a76bdbc7f4e1bf9c279cd302ac24

Observation 25252d2f-422e-416d-8151-d992f6e9ccdb · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-12T00:11:16.847582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:7e08bf296f11336831e468c04537df64c85138e1de0e1399e4a8951f7e9f851d

Observation 125432a8-ce2d-4373-83d4-7786ef498517 · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:09:34.215368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:940204e56ea4f5f9e8c3ca9d80ce9ad0f4f0096b5b947f927d084dc7402dbccc

Observation db12720f-c10e-4b5c-873f-5d8bd0107837 · outbound

This paper cites Learning by Cheating.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Learning by Cheating

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:11:16.900618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:e78d352f71fbab6f07116c2007448b844904c5c6fb1572f3823edc4a468c6feb

Observation edf778e9-dacf-4518-9f91-4fdd5522b11f · outbound

This paper cites Learning Universal Policies via Text-Guided Video Generation.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Learning Universal Policies via Text-Guided Video Generation

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:11:16.894537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:c34def44f9b52eb831b557507d43ae7414544af5c5a1df539be5dbdfe99bc9e2

Observation 51a02035-4ea4-4315-84e0-bedd770b5910 · outbound

This paper cites Mastering Diverse Domains through World Models.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Mastering Diverse Domains through World Models

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T00:11:16.839628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:58f5d1c30463aaab0ed72e97f6e0744115ddf88f828175f17699629f30eaa8e4

Observation e4ffacfb-9aa3-4a17-a14d-2d819f9aba7d · outbound

This paper cites 9 APREPRINT- MAY5, 2026 Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, and Jianyu Chen.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models 9 APREPRINT- MAY5, 2026 Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, and Jianyu Chen

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T03:03:28.327596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:5505dd4eb7abe2ad9ceeb85631fdff350493ed003bf0445587cc59a87106099c

Observation c66f2395-a275-4a76-9304-27ca778da58f · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:38:11.644840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:b7be5949538c5ec3aac0dfb501c3376b0a43d757afd6f2a8cc546eb594536514

Observation 9f812685-7f74-435f-973d-70f441446fb1 · outbound

This paper cites Causal World Modeling for Robot Control.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Causal World Modeling for Robot Control

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T13:53:52.791726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:98d171ca5ce817da346149995e22b35dd327ec4dac7c47dc86bcf22d9e10b039

Observation 3ec46605-ec88-49c6-8b06-b3c5ae9a85a2 · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:04:42.196761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:4761539cfeea4a53d69b1c137cec1513c1ede23be7a738ca00d598bd605ffb16

Observation ec59f633-2c54-4dc8-a716-2a24d3129840 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-12T00:11:16.823598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:188ed99ab565373ac9ddd14fceabcb94bd246b59944da95bfef1af96ed464d80

Observation 9c0cc5bc-6019-46f6-ae9b-395aff5c13fa · outbound

This paper cites Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Reference 12

Resolution
metadata mismatch
doi, observed 2026-05-16T23:57:02.849350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:f6e074619be10a250051f4f3a3c2afd796ececc0e53ab1c1748abaf74725363a

Observation 2d6820ee-73d0-49ae-88bb-1799fa3688d5 · outbound

This paper cites 2009 , note =.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models 2009 , note =

Reference 13

Resolution
metadata mismatch
doi, observed 2026-05-09T02:19:39.163724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:2217125d64f3b18fb89ef9b43c591e0b62fb9f82ad052c3cadf3eac69ff27664

Observation 30fdc0d2-7c83-4dcc-99a5-309ecc463858 · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:57:30.289083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:42:10.954090Z digest=sha256:9e6b38f2a4fa16b332c924c1abc477a016e5e4850818f84e0df47999f3295114

Pith citing papers

No inbound Pith citation observations are available.