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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:2c99e7db18cab692fc5213f3302fc01de49f5c6ae2d348201a0168223b3ca553

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:57:08.314088Z digest=sha256:98e96a0613c7daee6b54881cff3f3d25ecac029dbd4a5cc71a673d537fe8dff2

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=sha256:65fa8043ec0e46071c75af35e1a1c6a05ea1fb2db2aab1caeb15a2a178bba433

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=sha256:564efccd4816d182c9c00508468359523399ff081a8a6bed57de46a138aac7ef

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=sha256:1bbadab8c8f459894d9c8fb19f38889c0b9805918951493e47a7a1fa26454f9d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T06:20:01.885711Z digest=sha256:ecd77a20026687e35a1db58b5d13af94211e0abd6edd193b292a430e55e487e0

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=sha256:87ce02c4ffe804bbb8a679454c2456f0718854bf86247a5f0b022e5f1c4b652f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T13:36:56.552395Z digest=sha256:71b1de79e3bd84bf81a86e7859d9281099a0d6096b5372bc8e27a32dca5f8074