Pith. sign in

Paper Citation Record · LEDGER

Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2408.14037.

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

pith.paper-citation-record.v1
2408.14037 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:15:34.355989Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T05:54:33.606791Z

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 455fe5f4-8a0b-4a5a-b6ec-7efc4c0626cb · inbound

Guiding Data Collection via Factored Scaling Curves cites this paper.

Guiding Data Collection via Factored Scaling Curves Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T22:15:34.355989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:15:34.355989Z digest=sha256:8cde6331c5a984e166d4839e419fee255616aa46f1a2a560f4e3c013577c85a8

Observation 0e6b1877-fa17-480d-a84e-66dc0601775e · inbound

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels cites this paper.

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:17.126411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:34:17.126411Z digest=sha256:b6d88c53d06477c43c9e819624b46c45cad2ce038e126369b23a448147fb5198

Observation df80766e-c498-4d04-820c-975b608fe50a · inbound

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning cites this paper.

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:28.284335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:28.284335Z digest=sha256:dba3e56448b895d211c4ab3bdefe54fefc8ae38721d86bcb640407e67f440067

Observation 253698f0-fb00-4a30-beaa-449d6f8d59a5 · inbound

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models cites this paper.

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T19:06:38.138469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:06:38.138469Z digest=sha256:59de3324892b2bfffbed5873c50103c2d35ce86b5918d01a5123b4d1ee816667

Observation 104d4248-adfd-4922-b646-90ce95eb2369 · inbound

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation cites this paper.

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-05T22:50:43.834359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:50:43.834359Z digest=sha256:301441b21663ed0bb7cd572ed7da5af95f1b15c560b7f8c3bdc104cf4a3060eb

Observation b36a38f8-2a5e-4e40-b300-28133619472b · inbound

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation cites this paper.

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-05T22:46:47.157237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:46:47.157237Z digest=sha256:c13d0b0785b0b73992754ff5899f934e372e6baee4b7962b2978af2dbb673d3a

Observation ce445422-bb6d-4cbb-a608-bb8ea8c8fd06 · inbound

R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation cites this paper.

R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:51:09.051079Z

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.

source=pdf_text observed=2026-05-18T08:46:51.278024Z digest=sha256:893de392fc81840cafa61461355ed132684d81b2f9be9baa6a8f93fcaa5c10ad

Observation 39730b1f-9eb9-46e2-a93e-aefe64b598f4 · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:08:59.468974Z

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.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:95c7577f86338b42b97c6a71f418c2c4c7242afb198ff097e907bc4b9c1c2f7d

Observation 8ef0deaa-e8d5-4e59-afaa-cdae79271080 · inbound

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making cites this paper.

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:59:02.005122Z

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.

source=arxiv_source observed=2026-05-20T20:54:31.025488Z digest=sha256:44d121985898212ef801620ac7bdc18e2c5703c25675a7f46c36c1fd882f02c2

Observation da1ae3db-0468-404e-9447-6db1f288c2c4 · inbound

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling cites this paper.

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:33:27.738964Z

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.

source=arxiv_source observed=2026-06-29T13:33:03.368006Z digest=sha256:6645f5055429aaa3e0e261dc169d32ec6b09741cffff2b706578348d9bd911b7

Observation 9e224f1a-4041-4843-a95f-defe88a33dfb · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:57.224723Z

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.

source=pdf_text observed=2026-06-27T09:52:38.167538Z digest=sha256:850c4e900bba4011cf75e4f2673d579669e12c358be9186307f836dd5c9acdbe

Observation e1306d4d-1eb6-455c-8012-44b537e0a5a3 · inbound

Perfect Demo Makes Poor Teacher: Learning Robust Alignment from Critical Motion Segments cites this paper.

Perfect Demo Makes Poor Teacher: Learning Robust Alignment from Critical Motion Segments Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T11:22:17.792540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:22:17.792540Z digest=sha256:4d5996785cd85961a872a3bdd71c539166df5a1065c140f8f00ce57c5a187ec1

Observation e28cd7eb-d478-44d6-8981-1925c3e2728e · inbound

World Value Models for Robotic Manipulation cites this paper.

World Value Models for Robotic Manipulation Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:40:00.258709Z

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.

source=pdf_text observed=2026-06-25T23:33:50.854261Z digest=sha256:2c94409636cdd254123cd1d107882671b8cefab3b182a1ab4a1b12644c099172

Observation 02ba084b-8e34-4d44-97ab-e914c4235e69 · inbound

Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering cites this paper.

Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:54:22.164009Z

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.

source=pdf_text observed=2026-06-30T07:49:04.825693Z digest=sha256:05592b246aa59783045ac7a50f6d18476e7a94c7135150d62b4db12b331acdbc

Observation 6f53e3dc-6e6b-4bea-bfb9-ccc52138f214 · inbound

VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment cites this paper.

VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:08:42.603429Z

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.

source=pdf_text observed=2026-07-03T17:08:38.538596Z digest=sha256:21aa60ab90a454a63bcc01c055dd85bbd6c2690fc34d34386e0927e398dfcbd2

Observation 8ce713a3-9139-471f-a263-768cb5e933ce · inbound

SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models cites this paper.

SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-08T05:54:33.608465Z

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.

source=arxiv_source observed=2026-07-08T05:46:29.222785Z digest=sha256:3839f6e4359e98470eab265248803db49efcdfc0011ecda0f13b1fe32d0082bc

Observation f0a0ff92-38cf-4587-9224-935f5aa7cf15 · inbound

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations cites this paper.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:24.304598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:24.304598Z digest=sha256:3ff3a486ae8cc400767f2bfbc710f5a2f5bab29d01382214d5cea19133a3cd18