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Paper Citation Record · LEDGER

HarnessWAM: Bridging Prediction and Deliberation in World Action Models

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2608.09516.

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

pith.paper-citation-record.v1
2608.09516 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:50:34.444730Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 101ae6d0-9316-4da9-a681-6909ba930707 · outbound

This paper cites Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress

Reference 1

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source=pdf_text observed=2026-08-11T15:50:34.356082Z digest=sha256:5f8a41eb2d76d724ee59603e8758a8895d9c1dc1130af275948d1754644da6ec

Observation b9960660-c0d1-4305-8324-2920aeffaa9f · outbound

This paper cites RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies

Reference 5

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source=pdf_text observed=2026-08-11T15:50:34.376400Z digest=sha256:08905e01d58422423743c74164260a5b0fdec1dab93e3de3f8183b37b257c3a2

Observation 25a85bda-89ea-4183-84a5-128bfe1b6bf2 · outbound

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

HarnessWAM: Bridging Prediction and Deliberation in World Action Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 10

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source=pdf_text observed=2026-08-11T15:50:34.399036Z digest=sha256:93d154da906788a37a42bed8a419c37900254ee4a13c3973d68ef7b629f2dd05

Observation 794c889e-6302-467e-8f92-e4b084dfd022 · outbound

This paper cites RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark

Reference 11

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source=pdf_text observed=2026-08-11T15:50:34.403105Z digest=sha256:10c0b9761d96bf81ffe0fb61e0cfeade11ee0f25bc0f7594cfd179b18ade98f9

Observation 782dba21-5ebb-4200-8edc-23647c955ba4 · outbound

This paper cites Causal World Modeling for Robot Control.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Causal World Modeling for Robot Control

Reference 12

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source=pdf_text observed=2026-08-11T15:50:34.407477Z digest=sha256:336a83f9c6f7f14e878795c20651cc396ba69e224d4badf3585df0cab8b493e4

Observation 5a178790-6687-4079-8404-b0d43bb9d4b3 · outbound

This paper cites Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

Reference 13

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source=pdf_text observed=2026-08-11T15:50:34.411581Z digest=sha256:0741cb01829ab1da02e856fa04ce472db156f1f713ba5b789e1485e95cd6c6ba

Observation 4ed896f7-4762-498a-bd84-7b47ab3f8e69 · outbound

This paper cites Scaling up memory for robotic control via experience retrieval.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Scaling up memory for robotic control via experience retrieval

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-11T15:50:34.730926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T15:50:34.424063Z digest=sha256:23980682057fba97e77c594f5ecedf1934559fda9c03dce19f96a273653e4a9d

Observation fef7fdb0-68cd-4072-a223-77ff303fa8cb · outbound

This paper cites HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation

Reference 17

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source=pdf_text observed=2026-08-11T15:50:34.428143Z digest=sha256:08cec51cb31f14125aac6166acf772e8f886213069da081ee9c11bdbba6d05b7

Observation 98dccfe5-d3c7-46cb-a06e-9eb78b0bc011 · outbound

This paper cites MemoryWAM: Efficient World Action Modeling with Persistent Memory.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models MemoryWAM: Efficient World Action Modeling with Persistent Memory

Reference 18

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source=pdf_text observed=2026-08-11T15:50:34.432360Z digest=sha256:7db3cae608230e03bc2dfc9908358548c68ba0745490bb332c117a551d5f1e62

Observation 70b5d3f4-38e0-4e11-913f-be7d3c0d0f75 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models React: Synergizing reasoning and acting in language models

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T15:50:34.436340Z digest=sha256:78f7d5585253cca090f88fd443ff2a8cde14c2c988ea9544e24dc03f0770c8b4

Observation b88af22b-0666-4dc1-a477-065575c40951 · outbound

This paper cites World Action Models are Zero-shot Policies.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models World Action Models are Zero-shot Policies

Reference 20

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source=pdf_text observed=2026-08-11T15:50:34.440686Z digest=sha256:19527ee71c461407ef1f5976a4fc8e8ee16190e69996f533396d918537f9bd11

Observation 9559049e-5a1b-40ea-8d39-661ce2da4a39 · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 21

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source=pdf_text observed=2026-08-11T15:50:34.444730Z digest=sha256:a68ac5cfa46678d3bc713f4a1aac86206fc6bf2f23a4959d78328377de716684

Observation 98d318a8-ce40-4622-a6c9-51ef7770e971 · outbound

This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Reference 1997

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source=pdf_text observed=2026-08-11T15:50:34.415778Z digest=sha256:f32b31a0a262bef6f59c5a7f9d61257b05ce5ebfd91829e13afe8135b0d90d15

Observation 843b0bfc-41b2-4f46-a836-9a7c0960c231 · outbound

This paper cites Memoryvla: Perceptual-cognitive memory in vision-language- action models for robotic manipulation.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Memoryvla: Perceptual-cognitive memory in vision-language- action models for robotic manipulation

Reference 1998

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T15:50:34.419839Z digest=sha256:2793b3053a354aa7928bb3581b3d883c58f837b7955d883a9a64a93f996147ad

Observation 1162f116-863b-44cc-9852-9d00f303a192 · outbound

This paper cites SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation

Reference 2013

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source=pdf_text observed=2026-08-11T15:50:34.366892Z digest=sha256:90cf1c636a958dda727713f72dac32688908e1f2a6bf28dfa855e490c4c2b822

Observation 05f2813a-738d-43f4-967a-f0cb59a80eb8 · outbound

This paper cites Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Reference 2017

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source=pdf_text observed=2026-08-11T15:50:34.380935Z digest=sha256:6a77333bd337ce8fe71da42d7a4260b680acf73f5a8b8a0c98a14b8c7f8ba1c0

Observation 479eb3e4-62a9-4d2b-910a-77945f534836 · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 2022

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source=pdf_text observed=2026-08-11T15:50:34.390575Z digest=sha256:7b616a27324214b294caae944cba658cae4a4d5857e33ad0a52ea7da3d538ee9

Observation 69331f4b-dae3-4705-9f4b-4e5d0494bec3 · outbound

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

HarnessWAM: Bridging Prediction and Deliberation in World Action Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 2023

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source=pdf_text observed=2026-08-11T15:50:34.394727Z digest=sha256:f4986c4a0fe5e1742a204d41050fb7933f5df9bc6591a9982af8dc0fbcfe33fc

Observation 07a199eb-f5ff-426c-a404-ba546f4b03c3 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 2024

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source=pdf_text observed=2026-08-11T15:50:34.361746Z digest=sha256:f8dfa52ec0fa9a98c314a4c00ccfaa0fc2cc862c734e0d2a50873cbc36b829b1

Observation 7ad7f77b-3253-47ac-9edb-7a852eb2f2ac · outbound

This paper cites RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents

Reference 2025

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source=pdf_text observed=2026-08-11T15:50:34.371778Z digest=sha256:a9928267b0b1b1af85e612d2624de39decccdc95828cb1b018de2825eebdfd40

Observation b55dd2e1-1bf3-4ae6-b766-d8adddf7014e · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

HarnessWAM: Bridging Prediction and Deliberation in World Action Models Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 2026

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source=pdf_text observed=2026-08-11T15:50:34.386232Z digest=sha256:63de38875b18e65d40a6ba76676ea13719a428f428dd6235e66e0183d99b0c23

Pith citing papers

No inbound Pith citation observations are available.