Pith. sign in

Paper Citation Record · LEDGER

TAPAS: Throughput-adaptive Perception for Autonomous Systems

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.17317.

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

pith.paper-citation-record.v1
2607.17317 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:24:06.977491Z

measured 36 of 36 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 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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8928f160-4af8-426e-bebe-9ce13a477e84 · outbound

This paper cites Semantically-driven deep reinforcement learning for inspection path planning,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Semantically-driven deep reinforcement learning for inspection path planning,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:02.016100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:02.016100Z digest=sha256:a0e47afe1a77d353066228f49b0e851fa2370796295d8ff9c4e91d0d704d34fc

Observation 02e10cc7-bbb4-44c6-aef5-35626fefeaa3 · outbound

This paper cites Transformer-based model for monocular visual odometry: A video understanding approach,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Transformer-based model for monocular visual odometry: A video understanding approach,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:02.131565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:02.131565Z digest=sha256:7c5fb838695c6ed2e418808c93f7686102e7b835582ba843b90797bd511cb4e2

Observation 8e8a6497-f7d4-468a-8c6f-f4172da54844 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TAPAS: Throughput-adaptive Perception for Autonomous Systems An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:02.284508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:02.284508Z digest=sha256:351accef719d5d6b0e32a55953736d7f725c9c666cfe78b143fa3c71ecf1cd23

Observation 7e5c5feb-1d90-418c-bc41-55846d17fc84 · outbound

This paper cites Roboshape: Using topology patterns to scalably and flexibly deploy accelerators across robots,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Roboshape: Using topology patterns to scalably and flexibly deploy accelerators across robots,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:02.452395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:02.452395Z digest=sha256:d02a4309b0d99db5ba695b0ee55b2acca248fc24490ef0d4315eed09376da974

Observation 15d51f3e-7f0e-4bcb-a1f1-8658871ccf14 · outbound

This paper cites Zhuyi: perception processing rate estimation for safety in autonomous vehicles,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Zhuyi: perception processing rate estimation for safety in autonomous vehicles,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:02.635936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:02.635936Z digest=sha256:e853cfdf63672afe410c0ae1d0eb2028cb72d9c73b2a43c1385ee5640051cfa3

Observation 39b57517-9e04-4e15-8bdf-19999dbca7c4 · outbound

This paper cites How fast is too fast? the role of perception latency in high-speed sense and avoid,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems How fast is too fast? the role of perception latency in high-speed sense and avoid,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:02.792457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:02.792457Z digest=sha256:5785123bce6ab5bc12a95869b7200385f8c2ac5766039d6f23478d0aa2013b8d

Observation 7d0b57c6-a439-42f7-bc23-f27e7b02ba2d · outbound

This paper cites Driving scenario perception-aware computing system design in autonomous vehicles,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Driving scenario perception-aware computing system design in autonomous vehicles,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:02.950352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:02.950352Z digest=sha256:8109e8f259dbda46baa93bbf4fbdc539a797c81bb576ee019d89a9f61c502007

Observation 82f53981-1c9a-4314-a483-accce8fe4434 · outbound

This paper cites Roborun: A robot runtime to exploit spatial heterogeneity,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Roborun: A robot runtime to exploit spatial heterogeneity,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:03.109441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:03.109441Z digest=sha256:9829f5a53cbfb3aeca8c3afcaf5c4e9f9601d66cceb4dae0c4b696266725bcf8

Observation b97ca9ff-3e7a-45c1-9b70-8c469465b304 · outbound

This paper cites Context-aware multi-model object detection for diversely heterogeneous compute systems,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Context-aware multi-model object detection for diversely heterogeneous compute systems,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:03.237672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:03.237672Z digest=sha256:9464cbf0fb5edf806cb564207d1b2b3916d940f51ce380e3e4f8ae527da4516e

Observation 9d27f07b-1e04-44a0-9109-f9d374b5c186 · outbound

This paper cites Working with dla,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Working with dla,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:03.428973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:03.428973Z digest=sha256:5cf6e3d55cf5e57d8958fcff6b6333dde4a1f12f45992cab3e356b93e7d34ecb

Observation dc1ae5d7-99f0-40b0-ab45-0992ad000ce4 · outbound

This paper cites Energy-efficient mobile robot control via run-time monitoring of envi- ronmental complexity and computing workload,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Energy-efficient mobile robot control via run-time monitoring of envi- ronmental complexity and computing workload,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:03.565905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:03.565905Z digest=sha256:bc05f796f276a08ea00386c0bfcd7898a468c34c0b57b617f1073e35b589bb25

Observation 0ab834fe-f5ec-4521-ac72-440eb5ba7e7f · outbound

This paper cites A coordinated approach to control mechanical and computing resources in mobile robots,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems A coordinated approach to control mechanical and computing resources in mobile robots,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:03.720178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:03.720178Z digest=sha256:ae366ebd22621cd6de7e6d1c4cdb077f800ed9f38032cc03bcb39341f3877bb1

Observation 200ac2c8-e210-4931-b389-5dcaa49664fa · outbound

This paper cites Band: coordinated multi-dnn inference on heterogeneous mobile processors,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Band: coordinated multi-dnn inference on heterogeneous mobile processors,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:03.844728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:03.844728Z digest=sha256:210ae0099a98f5fa3eb1d2589c28b2ee4e83600189aa003af478b09a609de0f0

Observation 967bef86-7a68-4f0d-8961-c4fb610b1a51 · outbound

This paper cites Omniboost: Boosting throughput of heterogeneous embedded devices under multi-dnn workload,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Omniboost: Boosting throughput of heterogeneous embedded devices under multi-dnn workload,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:03.992881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:03.992881Z digest=sha256:3ad09ea47fdd792dab2a5eeb4914f625c1eaecbc48eec1b40562399bc892f3b0

Observation fcfe3fbe-ba05-4de1-86f1-7b9b9535737f · outbound

This paper cites Axonn: Energy-aware execution of neural network inference on multi-accelerator heterogeneous socs,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Axonn: Energy-aware execution of neural network inference on multi-accelerator heterogeneous socs,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:04.107950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:04.107950Z digest=sha256:f6f1f1be5e640abd1b5695be058a50f97ef1a59248c4eea7cbb8de6fcf9d8d16

Observation 6fd8120e-51cf-4dae-b8cf-52babda8fa8b · outbound

This paper cites Equipping diffusion models with differentiable spatial entropy for low-light image enhancement,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Equipping diffusion models with differentiable spatial entropy for low-light image enhancement,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:04.241764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:04.241764Z digest=sha256:5b73e7272abe5a6d29d74cf709c1f5dc6fa43661d7aa448842b69908a0d1266c

Observation 50729231-8a11-4b61-8914-5e2384ad7065 · outbound

This paper cites Proximal Policy Optimization Algorithms.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Proximal Policy Optimization Algorithms

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:04.407608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:04.407608Z digest=sha256:51b78baf14d9528aeed8529c72d37fc460eb93b4e1ecbf584380f6e81926fd2e

Observation 197d3889-be09-475b-9798-c82634187d0c · outbound

This paper cites Tango: Low latency multi-dnn inference on heterogeneous edge platforms,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Tango: Low latency multi-dnn inference on heterogeneous edge platforms,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:04.565148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:04.565148Z digest=sha256:ff8f47253189da029fe6182d8390d20730189e71bf9218de205da40df95ac55f

Observation 12a1c266-d55d-436a-b877-aadc29b49771 · outbound

This paper cites Reward Reasoning Model.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Reward Reasoning Model

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:04.760985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:04.760985Z digest=sha256:c7a40ddcfee2237d4b25dd872b330b645e69dfc0e3142650735929a9463c2442

Observation 263bb1f1-867c-4180-b5f7-2a91945cc46c · outbound

This paper cites Continuous, real-time object detection on mobile devices without offloading,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Continuous, real-time object detection on mobile devices without offloading,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:04.896661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:04.896661Z digest=sha256:d6c20d6595cb576fd9ac0632d16d136f666deecba6b5433379671e114be2243f

Observation 8c020dc3-766c-4af1-84c6-c39a0f6bb171 · outbound

This paper cites Maritime Vessel Tank Inspection using Aerial Robots: Experience from the field and dataset release.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Maritime Vessel Tank Inspection using Aerial Robots: Experience from the field and dataset release

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:05.064812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:05.064812Z digest=sha256:62d233963cbcc52e2593d930d3999d40c05616b34cf26ef72620e07579fc983a

Observation 1cc79b08-81c4-4bc1-afc9-72106b74bff6 · outbound

This paper cites The use of spatial information in entropy measures.

TAPAS: Throughput-adaptive Perception for Autonomous Systems The use of spatial information in entropy measures

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:05.216433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:05.216433Z digest=sha256:aa688896f9b5e4479ffad2323e07fbe5cec3cd8e24c4edf3e1ed6fe6bb21cf61

Observation 02cb12d9-fa50-475d-8775-e14fa1ec7330 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:05.364757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:05.364757Z digest=sha256:4d8c4fdd2d532236cc93f7898891e62dbc53912ef8c19c427e5856d2296d1741

Observation 443d2b47-32dc-4386-b678-fb607f566513 · outbound

This paper cites Unpack- ing reward shaping: understanding the benefits of reward engineering on sample complexity,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Unpack- ing reward shaping: understanding the benefits of reward engineering on sample complexity,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:05.505052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:05.505052Z digest=sha256:85d0b964e6a954baccff3ee2ee01e6d7bca88be7d2594eb29c65f8a3c5ede36e

Observation 29c5a56c-d257-4a05-9423-3de842757ff7 · outbound

This paper cites Reward Design with Language Models.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Reward Design with Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:05.608019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:05.608019Z digest=sha256:da5aada8ddf406066209df48f2dba85dccf76dcc48e12f54af6c4b4eb0e06416

Observation e5fc2c31-8511-422a-875f-b70e8bdad4c2 · outbound

This paper cites Qwen2 Technical Report.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Qwen2 Technical Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:05.760231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:05.760231Z digest=sha256:c13470a9f39f5895420d8fd6020b411a5f4cb2db5074cc45045d2f1fac620f97

Observation 51260f7f-8878-434c-9e2b-004c2bec4856 · outbound

This paper cites Survey of hallucination in natural language generation,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Survey of hallucination in natural language generation,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:05.913094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:05.913094Z digest=sha256:4edbd6e4a412726651d9bc3e7cc8ca2c70ce24f53e0d32b9cfec6ce19bcf9822

Observation 1f335713-7ca5-49e9-873f-9a92ba0bc420 · outbound

This paper cites Nvidia jetson Orin,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Nvidia jetson Orin,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.075680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.075680Z digest=sha256:821e2e3eada19ee47c8eab68d5ca137ef31b7f2ba89d1a6c2478dbacb880e6aa

Observation 4c6b205a-f14c-4840-99d2-ef110870ffbc · outbound

This paper cites Vision meets robotics: The kitti dataset,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Vision meets robotics: The kitti dataset,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.231715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.231715Z digest=sha256:4ddd7f257d6e46fdcd6ef8dcd453ae0c1e625c110768495066346f620febfd71

Observation 34d13a9a-f525-4414-b945-d59074acb6fd · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems nuscenes: A multimodal dataset for autonomous driving,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.429573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.429573Z digest=sha256:b159b8e7fff86bb39d1d7072f40be2e3199d23769436e1d2213cb0922c7391fd

Observation 6e1887ab-d88f-4eea-ab02-18a5bb81f1d1 · outbound

This paper cites Slimslam: An adaptive runtime for visual-inertial simultaneous localization and mapping,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Slimslam: An adaptive runtime for visual-inertial simultaneous localization and mapping,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.554224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.554224Z digest=sha256:1734ab1ec7831316e4dfbc66eba97f627bb2b09274cae4ebf363d8681c9af396

Observation 459e173c-1b71-4084-a71d-aed91fa120f6 · outbound

This paper cites A deep reinforcement learning based online scheduling policy for deep neural network multi-tenant multi-accelerator systems,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems A deep reinforcement learning based online scheduling policy for deep neural network multi-tenant multi-accelerator systems,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.686124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.686124Z digest=sha256:dffa745e6b5c23931c08f3630a00325175eefb052393e52c21c06d97e12eafc8

Observation 2fe01763-97db-48ec-90c6-28245f495694 · outbound

This paper cites Deepvo: Towards end-to- end visual odometry with deep recurrent convolutional neural networks,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Deepvo: Towards end-to- end visual odometry with deep recurrent convolutional neural networks,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.762293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.762293Z digest=sha256:103b7ca8b4e2bb68ba462623ebdde0be2b34557c404bf0530dc4b2994f8b16ec

Observation b87c12c1-395d-4af5-92c0-e319d9309486 · outbound

This paper cites Suraksha: A framework to analyze the safety implications of perception design choices in avs,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Suraksha: A framework to analyze the safety implications of perception design choices in avs,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.829984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.829984Z digest=sha256:1c5c149dda075a01c3aa7a4132aab88398dcfebb5d0fb45befd7d9dd7496c8f1

Observation 0b867bf2-d95d-4ef1-b1ec-db8198764cbc · outbound

This paper cites Frugal following: power thrifty object detection and tracking for mobile augmented reality,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Frugal following: power thrifty object detection and tracking for mobile augmented reality,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.912734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.912734Z digest=sha256:3d771765809b282368609c4e7ff4f1d7fca45c4e20fbb124de290601372e0b1e

Observation fa0ba593-a8f5-4e9c-871a-16a801141ede · outbound

This paper cites Adaptive optimization of autonomous vehicle computational resources for performance and energy improve- ment,.

TAPAS: Throughput-adaptive Perception for Autonomous Systems Adaptive optimization of autonomous vehicle computational resources for performance and energy improve- ment,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T18:24:06.977491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:24:06.977491Z digest=sha256:55db37dcd0d0f2aaf3af7c4a316cf08285676cb24630df777d4c4bdcee332012

Pith citing papers

No inbound Pith citation observations are available.