Pith. sign in

Paper Citation Record · LEDGER

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2406.20095.

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

pith.paper-citation-record.v1
2406.20095 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:17:20.429643Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:55:35.848576Z

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 3e0679f6-fe2e-46cf-811d-578cd346f1f0 · inbound

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies cites this paper.

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:27:22.961511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T18:27:22.760982Z digest=sha256:bf8f618779dc6392a975e7a4b9b39ec2e8b11c06307ff6e27c0b50379e2f3c80

Observation 729510c9-4d9a-4b2f-adcf-1e77007432be · inbound

$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization cites this paper.

$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:05:00.942249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T18:02:23.305313Z digest=sha256:0d8eeed6b32e6ea03853a9790454d79994829007de60f7a13dea86c89deb7266

Observation 4397c5d7-e6be-4a5c-be4c-5cea1876cd69 · inbound

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data cites this paper.

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:55:52.308698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T20:55:52.109166Z digest=sha256:63e33dad227872575f1076448541d61627cfe4310ee25b9910c382dafc6d882d

Observation 75f983ac-1b50-4cba-a53f-e394bf2ae2e4 · inbound

Gondola: Grounded Vision Language Planning for Generalizable Robotic Manipulation cites this paper.

Gondola: Grounded Vision Language Planning for Generalizable Robotic Manipulation LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T04:17:20.429643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:17:20.429643Z digest=sha256:605b194608ea59f40b3dbe6c0717c3a7e9490adeb6ac08fe733d8519ffd8dcf7

Observation a53aae7b-3c62-416e-9a3a-fc5a03f3ecc1 · inbound

ROSA: Harnessing Robot States for Vision-Language and Action Alignment cites this paper.

ROSA: Harnessing Robot States for Vision-Language and Action Alignment LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:31.810526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:31.810526Z digest=sha256:03883c5ed32a8c8d6c9717f5a3deb156006ef131ed7cc3051faa27842eeaac8d

Observation a9b8c9db-7b49-4d3f-9596-8cbfc9cd56f6 · inbound

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning cites this paper.

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:22:00.993224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T03:18:14.655384Z digest=sha256:1d794bdacb22b0e340a014bb5cc1efb0d713b01e7e121e3c2dbe3a0fae0a1ee6

Observation ba8f0adb-a275-4338-97da-3f5b21f15c60 · inbound

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach cites this paper.

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T20:35:45.229247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:35:45.229247Z digest=sha256:31be810f9a9ce69846ad6e501f40b733e30dbafe0ffff1d3c82b91bd11551de7

Observation 820bb12e-1f65-4484-be89-d4cdcccc75e4 · inbound

Leveraging OS-Level Primitives for Robotic Action Management cites this paper.

Leveraging OS-Level Primitives for Robotic Action Management LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:42.017846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:42.017846Z digest=sha256:d61d75cce564b798103f7564e69607abf2400bd529d65c96cd23b0ff3d7570c6

Observation f7c9ead3-b030-400f-8aee-7eb155274e66 · inbound

Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation cites this paper.

Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T08:14:36.362519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:14:36.362519Z digest=sha256:3ede1961ef1bd8827272148c2ff68b7378a1f4f5e0f309976bb41f6200cce973

Observation 71892b4f-5d44-4bbd-8b10-3e9442d87add · inbound

PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation cites this paper.

PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:08:01.899949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T15:05:21.907878Z digest=sha256:a7fceeb6520d684366cf736acf08b48c0615cacfe626029af95be2621598bdb9

Observation cadb8f72-5be7-4eb7-adef-8cb59a76fab2 · inbound

UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models cites this paper.

UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:20:17.570990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T20:18:31.988002Z digest=sha256:e4e6922dd5d2946ada8a66e21684a451de1b320595bc601e767b031a4c2010fa

Observation ebb8ebe2-0691-4b39-87ec-73ad9f9ad08c · inbound

Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks cites this paper.

Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T21:12:11.543924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:12:11.543924Z digest=sha256:5a46227d713587b108d59c718ea21eea00493a8178380fd66febf0d2cc319aee

Observation ce5cd47a-2a7d-4675-8bcd-d2334895f69a · inbound

Position: Vision-Language-Action Models Cannot Be Verified to Perform Physical Reasoning cites this paper.

Position: Vision-Language-Action Models Cannot Be Verified to Perform Physical Reasoning LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:35.850102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:56:45.197407Z digest=sha256:442b7dbeec8c1fe214c7dd5a9f0cb8fca386250592f5568b69d9352c0e2157c6

Observation 36f4c4ad-b2f7-4f5e-bc6e-7bbb2afe7bcf · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 140

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:34.906408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:34.906408Z digest=sha256:e27a140bf88925c1f62fa58c3ac9f4d10c2689ea62b6e719a477a27b369c4198