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Paper Citation Record · LEDGER

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2104.08212.

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

pith.paper-citation-record.v1
2104.08212 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:55.899391Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:37.558783Z

Reference resolution

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0b88b607-ba43-40e5-8e19-1eab8f9255e2 · inbound

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets cites this paper.

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 5

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arxiv_id, observed 2026-05-13T19:55:55.454223Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T19:55:55.434977Z digest=sha256:f6a7416d304f76051679a929066942895bf371ac2508bcd204d14c08a9d57a5f

Observation bc781784-7d56-4d9f-a0cc-fa5cc3584a0e · inbound

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

Inner Monologue: Embodied Reasoning through Planning with Language Models MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 80

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arxiv_id, observed 2026-05-11T20:10:44.317796Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T20:10:43.912935Z digest=sha256:dac4d267b7e4fd19b4e8df832ac651e38c6e011fef091126a4948d6d5ac33aef

Observation af2a4339-68df-4348-b7c3-92d65d06ccf8 · inbound

Scaling Robot Learning with Semantically Imagined Experience cites this paper.

Scaling Robot Learning with Semantically Imagined Experience MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 8

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arxiv_id, observed 2026-05-17T18:59:10.520355Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T18:59:10.352342Z digest=sha256:6fa258cf423829b201677d17611e86aebe068cf738fa2054c0cfc5eee86ef6a8

Observation d78f595e-68fc-4867-be40-1694a013e525 · inbound

Open X-Embodiment: Robotic Learning Datasets and RT-X Models cites this paper.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 85

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arxiv_id, observed 2026-05-11T17:23:24.468830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T17:23:24.255829Z digest=sha256:ec28a8c3b8e0a5c603aea5dce59fb524a1417763f06d91198aec5e34f1a04733

Observation dba517db-5e7b-4eb4-a85b-5a0b60f5f53f · inbound

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations cites this paper.

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 15

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arxiv_id, observed 2026-05-17T09:47:55.100242Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T09:47:54.977716Z digest=sha256:574143473560e9029b9098de50fa80121b813fa57f9e276273b937398d703dca

Observation 1f670418-4741-4fa5-a905-a21f8dc0d9f1 · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

A Survey on Vision-Language-Action Models for Embodied AI MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 165

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arxiv_id, observed 2026-05-24T01:25:54.610768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c61902a6-23ca-40ca-a021-ed3eb1102851 · inbound

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots cites this paper.

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 19

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arxiv_id, observed 2026-05-12T23:46:30.270671Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T23:46:30.198761Z digest=sha256:7e0a274f4ce3ebe4d32467b77230acb4e935ec8680da5577e732f60640fdfd1a

Observation 159bef5b-ba22-46bd-810b-0648b76ce21d · 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 MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 78

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arxiv_id, observed 2026-05-15T18:27:22.932732Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T18:27:22.760982Z digest=sha256:525d16212192cda976430f0b4d15e7590116739edb069d42a02290d0361f71aa

Observation 0c2f03c0-3c17-40d4-b59e-3f76ef7df96a · inbound

RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation cites this paper.

RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 48

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arxiv_id, observed 2026-05-15T22:14:17.949402Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:14:17.798964Z digest=sha256:2b6ed108785730806b200ce9262228ec94cdc757d9cbbd77607941313f52b83d

Observation 83948e63-ce1c-42e6-8b12-5947dbde6c6f · inbound

ScanBot: A Benchmark for Precision Robotic Surface Scanning with Industrial Laser Profilers cites this paper.

ScanBot: A Benchmark for Precision Robotic Surface Scanning with Industrial Laser Profilers MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:55.899391Z digest=sha256:66bb5e763519fc1f5c472b50f848e05763a75dfe5b067e8191f35897b87bce39

Observation 484a4aa4-4444-4160-a4e6-41601d8089a9 · inbound

Training RL Agents for Multi-Objective Network Defense Tasks cites this paper.

Training RL Agents for Multi-Objective Network Defense Tasks MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 23

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source=pdf_text observed=2026-08-07T13:11:06.996985Z digest=sha256:947c8b81bba1784728a297ba6009e92f1fd65a3ee7e03e49643edbf65a0a3bf0

Observation de15436c-8ea7-42eb-a48d-74b93ee4c7d9 · inbound

CARoL: Context-aware Adaptation for Robot Learning cites this paper.

CARoL: Context-aware Adaptation for Robot Learning MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 7

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source=pdf_text observed=2026-08-07T05:49:54.803585Z digest=sha256:7f9aab18bcdf83bb50f42e63e5c92f462fd2c6b5e8688cd4fa0c1b3145f55676

Observation 27752620-cd0d-4863-8994-9340d420234b · inbound

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning cites this paper.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 21

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source=arxiv_source observed=2026-08-06T19:05:00.528075Z digest=sha256:047027b45b62712871e1ccebee3ab53181d7342bc8be06550355d3295f6f38ad

Observation 85c565e6-3faf-4e2d-bf89-871b02cc75e7 · inbound

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making cites this paper.

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 11

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source=pdf_text observed=2026-08-06T15:37:51.099837Z digest=sha256:8c79f9bc0398c43ffc6ecab409502b8cf6c95043272bdd99309d40ab10e73ca9

Observation e037c6f5-b390-4f91-ae8a-480cfd44b876 · inbound

RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation cites this paper.

RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 18

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arxiv_id, observed 2026-05-17T20:20:12.119842Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9426c462-2389-4399-997b-ff7aaf0f97ed · inbound

EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration cites this paper.

EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 28

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Observation b03ff575-8d76-4b6d-8569-fe4f9cf4443c · inbound

TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics cites this paper.

TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 15

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Observation 7e7f9ffa-f977-4139-8f13-8b9f4cb230a8 · inbound

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies cites this paper.

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 47

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arxiv_id, observed 2026-05-11T15:36:11.827343Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 19d92e87-c654-4ea4-a22e-77542f76a7d5 · inbound

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies cites this paper.

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 47

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arxiv_id, observed 2026-07-01T08:15:32.309954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 12fb52cb-5556-4110-babf-c468b0c55bc8 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 124

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arxiv_id, observed 2026-05-13T05:07:18.353132Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2cb2073c-9183-4565-8644-7e8354f0b303 · inbound

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization cites this paper.

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 155

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arxiv_id, observed 2026-05-20T12:43:17.183280Z

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source=arxiv_source observed=2026-05-20T12:39:50.004269Z digest=sha256:ac4b9bdb6f0669f460fe86d4cafd1c61c7c9959756508d54a879911b0d095fa2

Observation e55e0740-0206-467e-b41c-969ea24615ae · inbound

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation cites this paper.

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 20

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arxiv_id, observed 2026-06-29T08:43:14.971544Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 216c4453-ec55-4b70-afeb-628e5884deac · inbound

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation cites this paper.

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 20

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source=pdf_text observed=2026-08-02T12:54:41.290499Z digest=sha256:46876e63767dadb00a836743bc556981844a3e0d55044c0777f83c69ca1d9bf9

Observation fbc0823d-f8ff-4e43-8ed2-469d6c7b7f33 · inbound

Robotic Policy Adaptation via Weight-Space Meta-Learning cites this paper.

Robotic Policy Adaptation via Weight-Space Meta-Learning MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 16

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arxiv_id, observed 2026-07-02T18:57:17.189279Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 63ad5358-e6e9-4028-9205-af2b55802308 · inbound

DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning cites this paper.

DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 7

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arxiv_id, observed 2026-07-04T01:29:22.892301Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8575eff6-f722-4e64-8c0c-a1db2bcdd6a9 · inbound

Robot Self-Improvement via Human-Video Dynamics Models cites this paper.

Robot Self-Improvement via Human-Video Dynamics Models MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 47

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arxiv_id, observed 2026-07-04T06:19:37.560194Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T14:40:13.855741Z digest=sha256:2c33d25eb6580769b8e3b7945f8c40e6d42aec6d3f3c78f1f29a1d65a9ced3f3

Observation 61632bd2-d458-463b-9671-bb60d5f5669c · inbound

HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation cites this paper.

HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 32

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arxiv_id, observed 2026-07-01T10:25:41.757725Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T05:31:17.234572Z digest=sha256:7700b77ae21515631c4a98da34ce3cf50186fa0b1cf9eaa794937abb5e37e981

Observation 497a9eef-b39c-4013-8cf1-58b6281946e3 · inbound

Coachable agents for interactive gameplay cites this paper.

Coachable agents for interactive gameplay MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 25

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arxiv_id, observed 2026-07-02T12:56:56.515381Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T12:52:05.010028Z digest=sha256:e6e96d9a79c1962fe96cd06a576844fa0c1140894fab4171f9181aff26624e59

Observation 9555a013-9136-4fa0-8317-9ef11d8ca30c · inbound

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation cites this paper.

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 161

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source=arxiv_source observed=2026-08-01T14:39:51.767313Z digest=sha256:d185bbf48fabcb14a4475ca290d334481b5c1c1acc5c9b4579198c993f184874

Observation 48ebdf6e-ae7f-4e20-a960-e467d3236e2b · inbound

Data Pyramid for Embodied Manipulation cites this paper.

Data Pyramid for Embodied Manipulation MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 187

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source=pdf_text observed=2026-07-31T06:18:55.670421Z digest=sha256:0a6980ca4c26e6bc24288f027b9c0fee8f63938cae188f481e7a56f797dce150

Observation 1b4fdcf0-0952-49b4-8cb9-987ee256d6e4 · 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 MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 114

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source=pdf_text observed=2026-08-04T19:45:34.808831Z digest=sha256:2bce2eba3829658bff19f32d00c493de2f129684ee4f7cbbb74bd62dabd75922