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Paper Citation Record · LEDGER

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.07895.

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

pith.paper-citation-record.v1
2608.07895 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:47:24.368863Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3535b44-1933-4bdc-91b7-7caa9e0d5bdd · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations RT-1: Robotics Transformer for Real-World Control at Scale

Reference 1

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Observation e50f2fb1-f3cc-4957-b36d-002729e65357 · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Rt-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 2

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source=pdf_text observed=2026-08-12T00:47:24.210799Z digest=sha256:4909a1667aab763d20046c94d1f9032a3b8d703b9aeaca327cbbb2b63e89ffb6

Observation 03060fb7-bab2-4551-a11c-98dae186e604 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collab- oration 0,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collab- oration 0,

Reference 3

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source=pdf_text observed=2026-08-12T00:47:24.219044Z digest=sha256:19520de3a1d4369d2ae2b9583eee624b3f9a2d95e48a1003a6d6f7bb83666b44

Observation 42fd8314-feb2-485b-95ff-e0960e954825 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Octo: An Open-Source Generalist Robot Policy

Reference 4

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source=pdf_text observed=2026-08-12T00:47:24.224059Z digest=sha256:9525cc5f6c0b57412c0a5b0bec850a353b76b09eeb737c4af9ff2beabf07186a

Observation 0abf5653-af7e-41cf-b098-cf78959d8156 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations OpenVLA: An Open-Source Vision-Language-Action Model

Reference 5

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source=pdf_text observed=2026-08-12T00:47:24.228983Z digest=sha256:51e1ab73c6cebeaad63a377bf994cc017e00888da37a0d683455f0a3e0cf5569

Observation 21ebb354-cd56-4bdb-98a9-26aaedc9db39 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 6

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source=pdf_text observed=2026-08-12T00:47:24.234572Z digest=sha256:6b86da555124c1a751f26d371a6c174bad8804dc2bc69d66b1daa6e2c0fc446b

Observation 6413222d-8e06-43d3-886d-9be79e9e3d32 · outbound

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

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 7

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source=pdf_text observed=2026-08-12T00:47:24.241267Z digest=sha256:8170674dccd47202cbd7122fddcbdb7625f75b7433be0c6fedaa8c21b52abd24

Observation ddd826be-cf30-44c7-8179-bdeea5a04e27 · outbound

This paper cites Cupid: Curating data your robot loves with influence functions,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Cupid: Curating data your robot loves with influence functions,

Reference 8

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source=pdf_text observed=2026-08-12T00:47:24.245846Z digest=sha256:dab1b64a4b174c7e6285e48e9ff22949f993a24c250c5929269073b4f2e3b3a3

Observation a3ff0d01-9a29-4b5a-a8b5-78aaa9d7c9e5 · outbound

This paper cites Robot Data Curation with Mutual Information Estimators.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Robot Data Curation with Mutual Information Estimators

Reference 9

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source=pdf_text observed=2026-08-12T00:47:24.250627Z digest=sha256:8e66415bb04adeec36739ef8621a77bc69c56ffdc3ec9d9cd9622210cc9c153a

Observation 4033ea42-4387-4213-9aa7-c79c0a78f69b · outbound

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

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations DataMIL: Selecting Data for Robot Imitation Learning with Datamodels

Reference 10

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source=pdf_text observed=2026-08-12T00:47:24.255110Z digest=sha256:5275434f416f56e83c0e76a01f9eefe3c955bb4fb70e6cea3c1c1526011b248b

Observation d9964fc3-413b-4cba-9584-cdd876180356 · outbound

This paper cites Curating Demonstrations using Online Experience,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Curating Demonstrations using Online Experience,

Reference 11

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T00:47:24.260241Z digest=sha256:fc4021e5d7f965353c94b5bfcf4a3130ba61981530d8510cbdb39404a7c8134b

Observation 6e30a482-e86b-4dd8-9a9c-56a789de44cc · outbound

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

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning

Reference 12

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source=pdf_text observed=2026-08-12T00:47:24.265455Z digest=sha256:6e1cbb37440aac9a6553faf5ac199d8202c655a43145433aaaa3e2300de336c9

Observation cdaf6164-2312-4961-bbca-0bd6e3986f41 · outbound

This paper cites Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

Reference 13

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source=pdf_text observed=2026-08-12T00:47:24.271234Z digest=sha256:12715e4471a0a3cea7cecb3e32c47537251ed25b4b2e18ec5c56d8669e7aff6e

Observation be7d54a6-460d-460a-b189-1c5b7676bda1 · outbound

This paper cites CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision

Reference 14

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source=pdf_text observed=2026-08-12T00:47:24.276738Z digest=sha256:2ba73091aea4dcbacf0f235830e709532858d6d108887aa32e98332064359925

Observation abd9c893-214c-4395-8539-20aaec14cadc · outbound

This paper cites Sprint: Scalable policy pre- training via language instruction relabeling,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Sprint: Scalable policy pre- training via language instruction relabeling,

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T00:47:24.282307Z digest=sha256:6f3e59177a12be2f148569484ad6d070d283026b65a0d24eb2219e34cae8faa2

Observation 265efd9f-4749-40b7-99c0-070963adedfb · outbound

This paper cites CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models

Reference 16

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source=pdf_text observed=2026-08-12T00:47:24.287465Z digest=sha256:b5647f5407becc867a994aa1fb8c05df675d7868fc138b0e61ecf1e6ee89122e

Observation aa90bab3-11ba-4b10-b7fc-1d3fc2009257 · outbound

This paper cites Consistency matters: Defining demonstration data quality metrics in robot learning from demonstration,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Consistency matters: Defining demonstration data quality metrics in robot learning from demonstration,

Reference 17

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T00:47:24.292531Z digest=sha256:31a8342f6201e5a0afed03a9f397bcb14bd5fd66f043fcb5cf4acc43d7f06d0a

Observation 53a4f8c7-638d-4747-be7c-651fc5cf0a4e · outbound

This paper cites Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots

Reference 18

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source=pdf_text observed=2026-08-12T00:47:24.297612Z digest=sha256:c58ff14566297f2a3b06412f2c1c2c26480cdfa0905fd8ad8d4a31289481d546

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

This paper cites Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning.

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

Reference 19

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source=pdf_text observed=2026-08-12T00:47:24.304598Z digest=sha256:2860576c76402ce312ed703ce106ae6d6cb34df4b3d1ba3073b23c5369d2b181

Observation 7b3e9b56-2853-4d89-8872-d769c822cad9 · outbound

This paper cites Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models

Reference 20

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local_arxiv, observed 2026-08-12T00:47:24.505748Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T00:47:24.310262Z digest=sha256:798845956bb0ad4ca7729e0fa373e7795cac413235e0c9815223cefad7e93c7c

Observation 688134c8-392e-427b-aeae-3930e6445512 · outbound

This paper cites Confident learning: Estimating uncertainty in dataset labels,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Confident learning: Estimating uncertainty in dataset labels,

Reference 21

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source=pdf_text observed=2026-08-12T00:47:24.314983Z digest=sha256:7aba9c7e913c6965b65234a9ffc4101b6038ec52109ed87c294bfc2cd2a12f17

Observation 45589a24-2a93-4471-a13b-8881ca290434 · outbound

This paper cites Deep k-nn for noisy labels,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Deep k-nn for noisy labels,

Reference 22

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T00:47:24.320035Z digest=sha256:4ca9ac157857ab945a9ebad61c74cc835fe516bad8613fdab731410756e3962c

Observation ab9aee4e-7503-408b-b9f5-c7e06d3cf8cd · outbound

This paper cites LEMoN: Label Error Detection using Multimodal Neighbors.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations LEMoN: Label Error Detection using Multimodal Neighbors

Reference 23

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source=pdf_text observed=2026-08-12T00:47:24.325243Z digest=sha256:94e1dcaa63ef768b5997b03377fcea25486db38f2aa21b1888f0fdfae6d837b5

Observation 897b2532-cca4-4316-943c-e451d14ac92a · outbound

This paper cites Seeing what’s wrong: A trajectory-guided approach to caption error detection,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Seeing what’s wrong: A trajectory-guided approach to caption error detection,

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T00:47:24.331727Z digest=sha256:ef75f5ec4cd28b8b870b4815fc775f1ef81a200a60cd117e3dc2c6c4c8f16d60

Observation 674b4aa0-f900-4938-8e1e-16090c7d85f6 · outbound

This paper cites Training products of experts by minimizing contrastive divergence,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Training products of experts by minimizing contrastive divergence,

Reference 25

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source=pdf_text observed=2026-08-12T00:47:24.336397Z digest=sha256:196d5c03a890c3f115de242b14a02067ee4688c836ee7d31735d7776df54c9a0

Observation 68db77da-304f-46e4-8ecd-557f2f2413c0 · outbound

This paper cites Generalized product-of-experts for learning multimodal representations in noisy environments,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Generalized product-of-experts for learning multimodal representations in noisy environments,

Reference 26

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raw_fallback, observed 2026-08-12T00:47:24.858977Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T00:47:24.340761Z digest=sha256:4a7a316179e5ec03b6b9424b82ca6772bd75582d970cb0e64bbbc9eb5f8cd450

Observation 936d216c-a6ca-4faf-aca0-4b68ad6704d4 · outbound

This paper cites Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Reference 27

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source=pdf_text observed=2026-08-12T00:47:24.344831Z digest=sha256:3c9623a4e0788ff9fb485acdcfc461bda64b1b1805b2c2fca6794c8925532c06

Observation 39516588-a578-445c-9576-060885b1c61b · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning,.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Libero: Benchmarking knowledge transfer for lifelong robot learning,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-12T00:47:24.844840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T00:47:24.349680Z digest=sha256:405de89e18a8168503b0ee089b7da341454d9a78abb00dae735c6cb05eff3915

Observation 14469d76-cd6a-4b47-97cf-5b84e21ef63e · outbound

This paper cites When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs

Reference 29

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source=pdf_text observed=2026-08-12T00:47:24.353889Z digest=sha256:f68ca57603d4a2ec08aad22aa1f89a7d4cb46e6350e98de51ec981128d6ce617

Observation d1b62589-7f3e-427a-a607-9e0e3e59a15b · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Cosmos World Foundation Model Platform for Physical AI

Reference 30

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source=pdf_text observed=2026-08-12T00:47:24.358409Z digest=sha256:4fbc45bb64c0fbb37b04ee84b91000da7e2a82864c542d41a831998d4072fc5a

Observation 8683660b-6a1a-4ebc-a404-c90a1b590612 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 31

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source=pdf_text observed=2026-08-12T00:47:24.368863Z digest=sha256:581249706cff67f493452aabf82c16abaf424aa153f25723217b152e14483428

Pith citing papers

No inbound Pith citation observations are available.