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Paper Citation Record · LEDGER

Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.03763.

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

pith.paper-citation-record.v1
2112.03763 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:01:48.293869Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:38:36.781571Z

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 3f659d86-0cf5-48df-8fd2-1b5080113430 · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:11:41.115711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T13:11:40.995345Z digest=sha256:b3f90436ec6d44abca2b175b2a843050b587e514da787a1d26fe423e096265ed

Observation 6f63daee-90bf-4682-a2e8-c2e958fc02b4 · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:38:36.785229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T06:38:36.517935Z digest=sha256:ec530aebb1e151887d52b22e18f1a8d00be1e38d79570b4989a83f11828d0ed4

Observation f8beccea-b818-4671-8b6e-a9f41a99bb7f · inbound

Towards Human-level Intelligence via Human-like Whole-Body Manipulation cites this paper.

Towards Human-level Intelligence via Human-like Whole-Body Manipulation Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:01:48.293869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:01:48.293869Z digest=sha256:dadcaeb287f376650d1a192c01a1074e09473a9027ae90dc39da986fb02d4fcb