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Paper Citation Record · LEDGER

PolyTask: Learning Unified Policies through Behavior Distillation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.08573.

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

pith.paper-citation-record.v1
2310.08573 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:17.671649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:38:10.658336Z

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 fe734fd8-e132-4683-8432-e991605c2b23 · inbound

SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model cites this paper.

SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model PolyTask: Learning Unified Policies through Behavior Distillation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:12:19.930548Z

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=2026-05-12T06:12:19.643111Z digest=sha256:8ddd1614af1dc9d2459301c6bdcb161c997d7d17fbdb8910f9ec162371225217

Observation 464f69e0-2884-4d5f-b06d-0c4a029929cb · inbound

ReFineVLA: Reasoning-Aware Teacher-Guided Transfer Fine-Tuning cites this paper.

ReFineVLA: Reasoning-Aware Teacher-Guided Transfer Fine-Tuning PolyTask: Learning Unified Policies through Behavior Distillation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:23:17.671649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:23:17.671649Z digest=sha256:d3e9789ef2fe437fb50f0955119c581d2bae3765081fe9ee3a1ea2f4d2bb3147

Observation 55052ecf-4710-42ca-a5de-5902d08e9e76 · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond PolyTask: Learning Unified Policies through Behavior Distillation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:21.846962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:21.846962Z digest=sha256:96368a3313a721b466591e414ca3a7d730df20390b3415298689b10ef19fa233

Observation 6ca53d6d-a726-42ec-99cd-0a000835db4a · inbound

Neural Operators for Multi-Task Control and Adaptation cites this paper.

Neural Operators for Multi-Task Control and Adaptation PolyTask: Learning Unified Policies through Behavior Distillation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:38:10.660261Z

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=2026-05-13T19:34:04.212168Z digest=sha256:464f3f3c554fc4d2bbcf8beff4eecce5f7d638831b22403294c53c53dc690c70

Observation bbc23b93-c85e-45ba-90d4-82c635ce825b · inbound

ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning cites this paper.

ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning PolyTask: Learning Unified Policies through Behavior Distillation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:48:48.365040Z

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=2026-05-10T05:06:38.517652Z digest=sha256:f76b30e5ac82fe126c244b4762545ca1e07870e9ec0e897ce0c12e0f8b0c9522