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Paper Citation Record · LEDGER

Towards Principled Representation Learning from Videos for Reinforcement Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.13765.

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

pith.paper-citation-record.v1
2403.13765 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:18:45.047550Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:08.348185Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9dc12d7d-ba2c-4b01-9278-8003c1341e15 · inbound

Latent Action Learning Requires Supervision in the Presence of Distractors cites this paper.

Latent Action Learning Requires Supervision in the Presence of Distractors Towards Principled Representation Learning from Videos for Reinforcement Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T19:18:45.047550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.047550Z digest=sha256:dc4a3e49ae85b657f4c1f06ca710c393de826ae8c175eb0f3ca437255bc8dd70

Observation 70194f46-9635-4e27-b6df-c272cbd325e1 · inbound

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos cites this paper.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Towards Principled Representation Learning from Videos for Reinforcement Learning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:28.346026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.346026Z digest=sha256:9d8a8db4757762d611c96d1cc278a1a67044fd9ee995f2b8307c4d8bbf0bf391

Observation 248ddb6e-8d6f-42f7-9245-1ea4c28fb5c0 · inbound

A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.

A Survey of State Representation Learning for Deep Reinforcement Learning Towards Principled Representation Learning from Videos for Reinforcement Learning

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:40.760414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:34:40.760414Z digest=sha256:d51b7f31f12ddb8b8ff83d9812f5465e58dc38b66cafc48c71dac419b02786f1

Observation fca38c2a-c7dd-4f82-9fe8-6422ea9951a8 · inbound

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training cites this paper.

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training Towards Principled Representation Learning from Videos for Reinforcement Learning

Reference 26

Resolution
malformed identifier
arxiv_id, observed 2026-07-02T16:07:08.349539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-02T15:58:30.814441Z digest=sha256:ac4f5545cfb90932ffac69246408312da8d044c1d11f7b939d1d76898fe17585