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Paper Citation Record · LEDGER

Generalization Capability for Imitation Learning

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2504.18538.

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

pith.paper-citation-record.v1
2504.18538 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:20:28.505960Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:42:32.332662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:29.468062Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a01cf3b-4d84-4e6f-b573-f84eaedfacac · outbound

This paper cites Emergence of invariance and disentanglement in deep representations.

Generalization Capability for Imitation Learning Emergence of invariance and disentanglement in deep representations

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:20:28.765264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:20:28.443875Z digest=sha256:b24cb86e0ac574952e64482f0a83144094107ea6fe7693072c65e1dadd3617b8

Observation 56c0b9ee-11e5-46f0-9137-eb78cc94d1da · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Generalization Capability for Imitation Learning GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.448679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.448679Z digest=sha256:fac879a7259a681d5b74385b125d11f90250ee3c0b225493ec9b2cd3ed18199b

Observation 1e1e9b19-5a23-43e7-aeb8-9843633f6268 · outbound

This paper cites π0: A vision-language-action flow model for general robot control, 2024.

Generalization Capability for Imitation Learning π0: A vision-language-action flow model for general robot control, 2024

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:20:28.753357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:20:28.453024Z digest=sha256:f67798ae5bcbea99ad7162306eb9f49f5ef4627fccb8e3f2b5f5f5f59dcecc97

Observation 6db9e7be-3883-4bf4-966b-013ca22a11ae · outbound

This paper cites Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks.

Generalization Capability for Imitation Learning Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:20:28.741771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:20:28.456681Z digest=sha256:85a08a391352b2803031d796c063628676e4553465ac0552cab5f686dc8b37fb

Observation 449a6933-4904-4ca9-9224-e80b470d57d9 · outbound

This paper cites InfoBot: Transfer and Exploration via the Information Bottleneck.

Generalization Capability for Imitation Learning InfoBot: Transfer and Exploration via the Information Bottleneck

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.460698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.460698Z digest=sha256:0c97d9fe689a268cbabc81c92b26a1b7ab5d82f1bf308df72cea2a781d93bc0e

Observation 384976c0-2c63-4665-9d3c-ffa274ed1710 · outbound

This paper cites Otter: A vision-language-action model with text-aware visual feature extraction.

Generalization Capability for Imitation Learning Otter: A vision-language-action model with text-aware visual feature extraction

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.464909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.464909Z digest=sha256:bc419217903c461057c8fbc5b78d181f4440a8f57b068dbeec82d7595f5a3c85

Observation 1c02046b-bf9d-42d7-88d7-64a6e5ce6e9d · outbound

This paper cites Correlation information bottleneck: Towards adapting pretrained multimodal models for robust visual question answering.

Generalization Capability for Imitation Learning Correlation information bottleneck: Towards adapting pretrained multimodal models for robust visual question answering

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:20:28.729955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:20:28.468917Z digest=sha256:8d374fd4e15cdeebaa9c88ac7e16a66e38ed0aa7462c4e322e7c67e430802d47

Observation 745a2e22-dc84-43c2-bc23-8f134b8db50b · outbound

This paper cites How does information bottleneck help deep learning? In International Conference on Machine Learning, pages 16049–16096.

Generalization Capability for Imitation Learning How does information bottleneck help deep learning? In International Conference on Machine Learning, pages 16049–16096

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:20:28.716623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:20:28.472538Z digest=sha256:b8b704dcd58ac32343a57600fa9977b9fd62debc3d47b33ee5692de292c9db8e

Observation 365ed369-9cd0-4376-8470-5c0879233f53 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Generalization Capability for Imitation Learning DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.476287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.476287Z digest=sha256:c32e7bc1623e0a11b441663298fd18dae984044c2e864f90a51e104610f47c4e

Observation e9ebc660-db7e-43ae-9676-56f10e46ff0b · outbound

This paper cites Conditional graph information bottleneck for molecular relational learning.

Generalization Capability for Imitation Learning Conditional graph information bottleneck for molecular relational learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:20:28.704905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:20:28.480253Z digest=sha256:4aaf682084a7673ecd1976e89bc172ac25d6112f099b3c3406d9bb2a7af85ddb

Observation 21e31176-324a-491e-8d41-5f767d81e0d2 · outbound

This paper cites Data Scaling Laws in Imitation Learning for Robotic Manipulation.

Generalization Capability for Imitation Learning Data Scaling Laws in Imitation Learning for Robotic Manipulation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.483717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.483717Z digest=sha256:a326bc1923beb9ddd3cb471c836acb3f77a4e2f1d33dbf3d80f8369f89e50eff

Observation e0b9dadb-816e-4f06-b2c9-a637d530f9c6 · outbound

This paper cites Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning.

Generalization Capability for Imitation Learning Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.487923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.487923Z digest=sha256:5eefde666c2df35e0b2398f0f8ec23e04eaf0c3fec73fae093aec1dcf6c5bfa7

Observation f83d421d-98ed-4e65-8f39-c4b7b6ae461d · outbound

This paper cites Where are we in the search for an artificial visual cortex for embodied intelligence? Advances in Neural Information Processing Systems, 36:655–677, 2023.

Generalization Capability for Imitation Learning Where are we in the search for an artificial visual cortex for embodied intelligence? Advances in Neural Information Processing Systems, 36:655–677, 2023

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.491590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.491590Z digest=sha256:e0e6c5e2c2c7abc5468e9c31b2590559a917e12cb491bb8841c6275a32d859ef

Observation 1e10885d-a6ea-4800-aad6-b05359ac9b77 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Generalization Capability for Imitation Learning Learning transferable visual models from natural language supervision

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:20:28.686505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:20:28.495307Z digest=sha256:5256800968c97bd222ede8195b36ab18ad28f9569cf663a3753b0e01444fd008

Observation 0a78174f-d83c-41d7-a6c9-a248af16ba05 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Generalization Capability for Imitation Learning High- resolution image synthesis with latent diffusion models

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:20:28.675314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:20:28.499044Z digest=sha256:e0cd923fdf2e5d3842ec73be53ae859a35d1c16b9c0faf6349cb2a8d55e3a8cb

Observation e133877c-ce11-4525-891d-16b3af9c93ae · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Generalization Capability for Imitation Learning Octo: An Open-Source Generalist Robot Policy

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.502330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.502330Z digest=sha256:326be5d577c295258ac7ec97a2b26427e534d4059d1499626bae795018163c90

Observation 63201021-66d8-44f6-8b05-546a218052de · outbound

This paper cites A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima.

Generalization Capability for Imitation Learning A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:28.505960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:28.505960Z digest=sha256:18f302267ef5f03a82cc7c6603378ade18a306e10316b24323370618d90e5961

Pith citing papers

Observation 8ea70782-27cf-4f2a-b13a-e2146530fcbc · inbound

Bidirectional Tutoring for Developmental Motor Learning in Robots: Co-Developed Interaction Dynamics Support Stable Learning cites this paper.

Bidirectional Tutoring for Developmental Motor Learning in Robots: Co-Developed Interaction Dynamics Support Stable Learning Generalization Capability for Imitation Learning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:49:29.470301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T17:42:32.332662Z digest=sha256:465b8770704a445b7c6cd353b98e7b475c314e0f14969bd31abfc653bd639eef