Paper Citation Record · LEDGER

Theia: Distilling Diverse Vision Foundation Models for Robot Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2407.20179.

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

pith.paper-citation-record.v1
2407.20179 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:27.121387Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:29.580056Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation e6bc9326-0a31-4aa2-baf8-79d69a5f684c · inbound

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation cites this paper.

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:13.141072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08f83ba3-34d6-4866-a1cf-ebdd5e21bba4 · inbound

SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation cites this paper.

SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T23:04:14.561926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a0ef54-462a-492b-a145-9f1a8e825c62 · inbound

Object-Centric Representations Improve Policy Generalization in Robot Manipulation cites this paper.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.121387Z

Source-reported events for the cited work

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Observation 5cec6f46-9634-477d-81a8-74278cc13a85 · inbound

Is an object-centric representation beneficial for robotic manipulation ? cites this paper.

Is an object-centric representation beneficial for robotic manipulation ? Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:50.078534Z

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Observation a9cb98dc-1036-4994-8d70-8f919ae0bd3c · inbound

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge cites this paper.

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:42:41.660719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 26caf29b-1180-4d8a-aa97-7c020eed7bff · inbound

Dynamic Pattern Alignment Learning for Pretraining Lightweight Human-Centric Vision Models cites this paper.

Dynamic Pattern Alignment Learning for Pretraining Lightweight Human-Centric Vision Models Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T22:22:58.808101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c575d66-de10-419b-9a9a-87d97cf82a59 · inbound

ImMimic: Cross-Domain Imitation from Human Videos via Mapping and Interpolation cites this paper.

ImMimic: Cross-Domain Imitation from Human Videos via Mapping and Interpolation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T17:26:19.552910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890b4ed2-661c-42f5-88be-4dcaf068aabd · inbound

RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models cites this paper.

RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:24:04.765662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 319d9c38-1d2e-40b0-b065-2741b47c2424 · inbound

SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models cites this paper.

SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:23:23.731777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72cff02c-9387-4abf-9791-edfbdb9ef77d · inbound

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation cites this paper.

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T07:04:44.923245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4923df3b-62c9-4fc4-8bfb-0c93c0e8c268 · inbound

ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors cites this paper.

ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:39:55.177952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 181c552a-0578-4513-8992-5c66a83521f3 · inbound

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation cites this paper.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:07.173665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5129e6c7-3db3-46b5-a89c-b4c1535e013f · inbound

Elastic Attention Cores for Scalable Vision Transformers cites this paper.

Elastic Attention Cores for Scalable Vision Transformers Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.613444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e36865a4-f893-4107-be7b-acd44ab738e4 · inbound

LACE: Latent Visual Representation for Cross-Embodiment Learning cites this paper.

LACE: Latent Visual Representation for Cross-Embodiment Learning Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:42:48.316408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1c81271-8e74-4de3-a5e8-286af5926ef0 · inbound

PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization cites this paper.

PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:36:27.241421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9a1dc47-02e1-47ac-a0b8-0e32d2a9388e · inbound

Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation cites this paper.

Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:56:29.281950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b1cabc2-4a61-4189-a742-e4820622a1cd · inbound

Action-Effect Memory Pretraining for Robot Manipulation cites this paper.

Action-Effect Memory Pretraining for Robot Manipulation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:48:04.840744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba4c843e-e302-4175-beb8-53ae8518e5cb · inbound

UNIEGO: Proxies as Mediators for Unified Egocentric Video Representation Learning cites this paper.

UNIEGO: Proxies as Mediators for Unified Egocentric Video Representation Learning Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:09:29.582106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f41f797f-ca3e-441a-9b29-09198ee0bab1 · 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 Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 231

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.210298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.