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Paper Citation Record · LEDGER

Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.05821.

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

pith.paper-citation-record.v1
2411.05821 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:58.912326Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:47:38.567677Z

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 0900040f-a961-4724-a701-f732cf3c5436 · inbound

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization cites this paper.

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:58.912326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:58.912326Z digest=sha256:381bc1d548fd2a33ddb0b96546aba3ad3f9a90f92151a43060f708f7681c4a6c

Observation e35ecdb8-a754-4b8b-890c-8715d302de3b · inbound

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments cites this paper.

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:57:16.302611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T11:57:08.314088Z digest=sha256:59d8bf8f09bf3376d6b6e8302784af4e0f24afcaa5f3113e66ebf8e0e2728bcb

Observation 57d0d3b1-cf47-4220-ab74-496fcaffe9c4 · inbound

An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models cites this paper.

An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:59:40.554768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:59:40.554768Z digest=sha256:facd849c6ad1b56c64a195b27d8b778fdda4ad21e3f932537cdb712230c4c77c

Observation 84759529-e6ae-4686-a506-72c9db046e09 · inbound

HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction cites this paper.

HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:49:08.555776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:49:08.555776Z digest=sha256:24f429830b71436a9799f586eed3a81df7a17cf18515181fa05542a0d881dfd7

Observation 9ca9382e-bac0-4847-b679-5c588f9d4f30 · inbound

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos cites this paper.

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:33:39.082418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:39.082418Z digest=sha256:01e052ba431087cccf3a058b6254b71b038e1a3bee499cf4e7db7bf0971ac5cf

Observation 2ac78650-55c6-4340-b089-256a7e12d555 · inbound

LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization cites this paper.

LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:20:01.948353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T06:20:01.885711Z digest=sha256:43042a4bdafbf12b8363dbb5375f2afbb3c64cc4cbd3c8ce6935a987f1a0be80

Observation 5b070957-d4b8-4e25-9b0f-06c17c756e24 · inbound

LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization cites this paper.

LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T11:38:53.629579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:38:53.629579Z digest=sha256:98c73bc379176d2584e334b1e342902b3ea92436fb85589470822d0cc9904acf

Observation 06392d38-bd28-4500-bd81-3e8509013bf4 · inbound

What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents cites this paper.

What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:47:38.569042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T13:36:56.552395Z digest=sha256:6f0bf748e36516ec61bbc10d57dab71ad57f0af57ea3b151e77d741466c1804c